Woojin Kim, MD (김우진)
Health IT Executive · Serial Entrepreneur · Radiologist · Keynote Speaker
Location: Newport Beach, CA
Website: https://woojinkim.com
Email: woojinrad@gmail.com

---

## ABOUT

Woojin Kim (김우진) is the Chief Strategy Officer and Chief Medical Information Officer at HOPPR, Chief Medical Officer at the American College of Radiology Data Science Institute, and a musculoskeletal radiologist at the Palo Alto VA Medical Center.

He was the Chief Medical Information Officer at Rad AI from 2022 to 2025, joining through the acquisition of Equium Intelligence, where he was Co-founder and Chief Medical Officer. He was the Chief Medical Information Officer at Nuance Communications from 2016 to 2019, joining through the acquisition of Montage Healthcare Solutions, where he was Co-founder and Director of Innovation.

He served as Interim Chief of the Division of Musculoskeletal Imaging, Chief of Radiography Modality, Director of the Center for Translational Imaging Informatics, Associate Director of Imaging Informatics, and Assistant Professor of Radiology at the Hospital of the University of Pennsylvania.

He completed his radiology residency and MSK fellowship training at the Hospital of the University of Pennsylvania, and an Imaging Informatics fellowship at the University of Maryland / Baltimore VA Medical Center. He has been an active member of imaging informatics within ACR, RSNA, and SIIM.

---

## CURRENT ROLES

- HOPPR (Chicago, IL) — Chief Strategy Officer & Chief Medical Information Officer, Shareholder [2025-01 – Present]
- American College of Radiology Data Science Institute (Reston, VA) — Chief Medical Officer [2024-07 – Present]
- Palo Alto VA Medical Center (Palo Alto, CA) — Musculoskeletal Radiologist [2019-05 – Present]

## ACTIVE ADVISORY & CONSULTING

- Philips Healthcare — Consultant [2025-06 – Present]
- Alara Imaging — Advisory Board [2022-10 – Present]
- Hyperfine Research — Consultant [2021-02 – Present]
- Xcel Capital — Advisory Board Member [2020-12 – Present]
- ImageBiopsy Lab — Advisory Board Member [2020-09 – Present]
- Braid Health — Advisory Board Member [2020-04 – Present]
- Luxsonic Technologies — Advisory Board Member [2020-04 – Present]

## PAST OPERATING ROLES

- Rad AI (San Francisco, CA) — Chief Medical Information Officer, Shareholder [2022-12 – 2025-01]
- Equium Intelligence (Ardmore, PA) — Chief Medical Officer, Co-founder, Shareholder, Board of Directors [2020-01 – 2022-12]
  Note: Acquired by Rad AI in 2022.
- Nuance Communications (Burlington, MA) — Chief Medical Information Officer; Director, Project Manager [2016-08 – 2019-12]
- Montage Healthcare Solutions (Philadelphia, PA) — Director of Innovation, Co-founder, Shareholder, Board of Directors [2010-01 – 2016-08]
  Note: Acquired by Nuance Communications in 2016.
- Perelman School of Medicine, University of Pennsylvania (Philadelphia, PA) — Interim Chief, MSK Imaging · Chief, Radiography & Fluoroscopy Modality · Director, Center for Translational Imaging Informatics · Associate Director, Imaging Informatics · Assistant Professor of Radiology [2007-07 – 2016-06]
- iVirtuoso (Baltimore, MD) — Co-founder & Shareholder · Creator of Yottalook (radiology-centric search engine) [2008-06 – 2010-11]

---

## EDUCATION

- Hospital of the University of Pennsylvania (Philadelphia, PA) — Fellowship, Musculoskeletal Imaging [2006–2007]
- University of Maryland Medical Center / VA MD Healthcare System (Baltimore, MD) — Fellowship, Imaging Informatics [2006–2007]
- Hospital of the University of Pennsylvania (Philadelphia, PA) — Residency, Diagnostic Radiology · Chief Resident (2005–2006) [2002–2006]
- Albert Einstein Medical Center (Philadelphia, PA) — Internship, Transitional [2001–2002]
- University of Pennsylvania School of Medicine (Philadelphia, PA) — Doctor of Medicine · Junior AOA (Top 6 in the class) [1997–2001]
- Brown University (Providence, RI) — BS Neuroscience · GPA 4.0/4.0 · Magna Cum Laude [1992–1996]

## HONORS & AWARDS

- 2024: RBMA Thought Leader of the Year Award
- 2024: Radiology: Artificial Intelligence Editor's Recognition Award
- 2019: Imaging Wire AI Activator Award
- 2012: RSNA Honored Educator Award
- 2011: JDI Best Paper (Vol 24) — Ontology-assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek.
- 2011: Jack Westcott Award (Society of Thoracic Imaging) — Monitoring Radiation Dose for Common Chest CT Examinations.
- 2006: American Heart Association Young Investigator Competition Runner-Up
- 2006: Baum-Laufer Award for Excellence in Service to the Penn Radiology Residency
- 2001: O.H. Perry Pepper Prize (Research Prize)
- 2001: Merck Manual Award
- 2000: Student Fellowship Award (Foundation of the Society of Nuclear Medicine)
- 1997–2001: Gamble Scholar — One of six merit-based full-tuition scholarships at Penn.
- 1995: Merck Index Award (Top student in organic chemistry)

---

## INVITED TALKS (223+)

- Breast imaging 2050 — SBI 2026 Annual Symposium (2026-04-18)
- Generative and Agentic AI in Medical Imaging — NIIC 2026 Spring (2026-03-26)
- From foundation models to agentic AI: building the frontier practice in medicine — Providence Health (2026-03-25)
- Breast imaging 2050 — SNMMI AI Summit (2026-03-12)
- Navigating the future of radiology AI: from foundation models to agentic AI — Radiology AI Trainee Editorial Board Lecture Series (2026-02-23)
- From foundation models to agentic AI: building the frontier practice in radiology — Penn Imaging Informatics Fellows Session (2026-02-18)
- [PODCAST] RLI CRS Foundation Podcast (2026-02-05)
- From foundation models to agentic AI: building the frontier practice in radiology — ACR- RBMA Practice Leadership Forum (2026-01-30)
- Navigating the next frontier: generative and agentic AI in radiology — UCLA-ACR Radiology Career Symposium (2026-01-24)
- [WEBINAR] Navigating the next frontier: generative and agentic AI in medical imaging — MSSNY Webinar (2025-12-10)
- Radiology: AI Fireside Chat — RSNA 2025 (2025-12-03)
- [KEYNOTE] Seeing the unseen: advancing radiology AI research — Keynote at RSNA 2025 (2025-12-03)
- [PANEL] Looking to the future: responsible governance and ethics in radiology — Panelist at RSNA 2025 (2025-12-02)
- AI made fun: how radiologists can practically leverage generative AI — RSNA 2025 (2025-12-02)
- [PODCAST] Dogra S, Kim W. The Serial Entrepreneur—Career Pivots — AJR Podcast Series Episode 5 (2025-11-26)
- Navigating the next frontier: generative and agentic AI in medical imaging — Richmond Academy of Medicine (2025-11-18)
- Navigating the next frontier: generative and agentic AI in medical imaging — Providence Health (2025-11-13)
- Navigating the new frontier: generative & agentic AI in radiology — Philips ACR RLI (2025-11-12)
- Generative AI and agentic AI in radiology — Arizona Radiological Society 2025 Annual Meeting (2025-11-08)
- Entrepreneurship in radiology — Arizona Radiological Society (2025-11-07)
- Entrepreneurship and generative & agentic AI in medical imaging — Wharton lecture (2025-11-03)
- [PANEL] Navigating your career in radiology AI research — Panelist at SIIM-CAIMI 2025 (2025-10-21)
- [KEYNOTE] Seeing the unseen: Advancing generative & agentic AI in medical imaging — EuSoMII Annual Meeting 2025 Keynote (2025-10-11)
- Structured, smart, and seamless: AI for the radiology reporting lifecycle — Philips ConnectDay 2025, São Paulo, Brazil (2025-10-01)
- IA na medicina diagnóstica: navegando por avanços, superando desafios e construindo estratégias realistas para o future Panel — Philips ConnectDay 2025, São Paulo, Brazil (2025-09-30)
- Radiology at the edge of AI maturity: harnessing generative & agentic AI to transform diagnostic imaging — Philips ConnectDay 2025, São Paulo, Brazil (2025-09-30)
- Navigating the new frontier: generative and agentic AI in radiology — SR 2025 Fall Summit (2025-09-27)
- Generative AI and agentic AI in radiology — Radiolili Congress (2025-09-26)
- Navigating the new frontier: generative and agentic AI in radiology — SIIM Global Outreach: Uganda (2025-09-22)
- Seeing the unseen: advancing generative AI research and education in radiology — AMS SGCR-WIRES 2025 (2025-08-31)
- Generative AI: shaping the new era of radiology reporting — AMS SGCR-WIRES 2025 (2025-08-31)
- [PANEL] Moderator for the panel: Current state and future state of radiology systems in the region in the age of AI: regional issues, problems, solutions, and wishlists — AMS SGCR-WIRES 2025 (2025-08-30)
- Navigating the new frontier: generative and agentic AI in medical imaging — ACR Military Committee Lecture Series (2025-08-19)
- [PODCAST] Imaging Informatics Unplugged Podcast (2025-08-13)
- Navigating the new frontier: generative and agentic AI in medical imaging — Cincinnati Children’s Artificial Intelligence Imaging Research (CAIIR) Center (2025-08-07)
- [PODCAST] AJR Career Pivots Podcast (2025-07-31)
- [PODCAST] Frame by Frame: Rethink Imaging Podcast (2025-07-25)
- Generative AI in Medical Imaging — SNMMI Annual Meeting 2025 (2025-06-23)
- Navigating the new frontier: generative & agentic AI in medical imaging — MGH CAIIRE AI in Medicine Series (2025-06-12)
- [WEBINAR] Generative & agentic AI: The next frontier of AI in radiology — NYSRS Webinar (2025-06-02)
- Navigating the new frontier: Generative and agentic AI — Philips Demystifying AI (2025-05-28)
- Frontier practice: Potential of AI agents in medical imaging — SIIM 2025 (2025-05-21)
- SIIM-ACR Data Science Summit 2025 Co-chair (2025-05-20)
- Seeing the unseen: Advancing generative AI research and education in radiology — Colombian Congress of Radiology 2025 (2025-05-16)
- Beyond interpretation: Potentials of non-interpretive AI in radiology — Colombian Congress of Radiology 2025 (2025-05-16)
- Generative AI: Shaping the new era of radiology reporting — Colombian Congress of Radiology 2025 (2025-05-16)
- Generative AI: Introduction — Colombian Congress of Radiology 2025 (2025-05-16)
- Bridging industry and academia to implement AI clinical translation in medical imaging — 2025 Academy Medical Imaging Research Roundtable Discussion (2025-03-26)
- Generative AI — NIIC Spring 2025 (2025-03-21)
- [PANEL] Panelist at the NIH Multimodal AI Workshop (2025-03-12)
- Generative AI: Shaping the future of radiology — PIH Health (2025-02-23)
- Generative AI: Shaping the future of radiology — SAR 2025 Cannon Lecture (2025-02-18)
- Generative AI trends for 2025: Insights for radiology leaders — 2025 ACR-RBMA Practice Leadership Forum (2025-01-25)
- Advancing AI in lung cancer detection and beyond — American Cancer Society (2024-12-10)
- Current and future approaches in report generation — RSNA 2024 (2024-12-05)
- Radiology AI fireside chat — RSNA 2024 (2024-12-04)
- [WEBINAR] Artificial intelligence: discussions on the current and future integrations in radiology — ACR MSS Webinar on AI and Radiology (2024-11-04)
- Entrepreneurship and generative AI in medical imaging — Wharton lecture (2024-10-28)
- Entrepreneurship and generative AI in medical imaging — ACR Radiological Medical Student Workshop 2024 (2024-10-12)
- Generative AI & Radiology — SABI 2024 (2024-10-07)
- Generative AI: the next frontier of AI in radiology — WAIS 2024 (9/23/24)
- [KEYNOTE] Seeing the unseen: advancing generative AI in radiology — ACR QSI 2024 Keynote (9/21/24)
- Navigating the new frontier: how generative AI is transforming radiology reporting — Cleveland Clinic Florida 2024 Imaging Symposium (2024-09-14)
- Generative AI: the next frontier of AI in radiology: Virginia Radiology Society Annual Meeting (2024-08-03)
- Double-edged sword: potentials and pitfalls of generative AI in radiology reporting — 6th Colombian Congress of AI in Diagnostic Imaging and Health (2024-07-27)
- Generative AI in medical imaging part 2 — 6th Colombian Congress of AI in Diagnostic Imaging and Health (2024-07-26)
- Generative AI in medical imaging part 1 — 6th Colombian Congress of AI in Diagnostic Imaging and Health (2024-07-26)
- Beyond interpretation: potentials of non-interpretive AI in radiology — 6th Colombian Congress of AI in Diagnostic Imaging and Health (2024-07-26)
- From stagnation to innovation: the role of generative of AI in reporting — SIIM 2024 (2024-06-28)
- Double-edged sword: potential and pitfalls of generative AI in radiology — UKIO 2024 (2024-06-10)
- Fear, hype, and reality of AI and the rise of generative AI in radiology — KAR Conference 2024 (2024-05-30)
- Revolutionizing healthcare: generative AI in medical imaging — 1st Annual International Conference for Application of Artificial Intelligence in Healthcare (2024-04-24)
- Generative AI: the next frontier of AI in medical imaging — ACR 2024 Moreton Lecture (2024-04-15)
- [PANEL] Panel: alternate careers and roles in radiology ACR 2024 Annual Meeting (2024-04-14)
- Generative AI — NIIC 2024 Spring (2024-03-07)
- Beyond the pixels: how generative AI is transforming radiology reporting — ECR 2024 (2024-03-02)
- Navigating the new frontier: how generative AI is reshaping radiology — Penn Medicine HTBAR Grand Rounds (2024-01-30)
- AI in medical imaging: fear, hype, and reality — Penn Medicine HTBAR Resident Lecture (2024-01-30)
- Expanding horizons: an in-depth exploration of generative AI in medical imaging — Liberty Mutual lecture (2023-12-14)
- Double-edged sword: potentials and pitfalls of LLMs — RSNA 2023 (2023-11-27)
- Talking AI with Rad AI — RSNA 2023 Blackford Partner Presentation (2023-11-26)
- ChatGPT and beyond: unveiling the potential of generative AI in radiology — QRS + RBMA (10/28/23)
- Unlocking potential: future and business aspects of generative AI — ACR QSI (2023-10-26)
- Entrepreneurship and AI in medical imaging — Wharton lecture (2023-10-23)
- [KEYNOTE] ChatGPT and beyond: unveiling the potential of generative AI in radiology — RBMA SYNC Keynote Speaker (2023-10-16)
- [KEYNOTE] Expanding horizons: an in-depth exploration of generative AI in medical imaging — C-MIMI 2023 Keynote Speaker (2023-10-01)
- Omni Reporting: next-generation intelligent radiology reporting — Strategic Radiology Fall Meeting (2023-09-30)
- Empowering radiologists: using AI to mitigate burnout — Strategic Radiology Fall Meeting (2023-09-29)
- AI in medical imaging: challenges and opportunities — Piedmont Radiology CGC Meeting (2023-09-06)
- [WEBINAR] Solving radiology’s biggest challenges: lessons from radiology founders — RBMA Founder’s Day webinar (2023-08-24)
- [WEBINAR] Beyond interpretation: potentials of non-interpretive AI in radiology — RBMA webinar (2023-07-20)
- Generative AI: Beyond ChatGPT — SIIM 2023 Annual Meeting (2023-06-14)
- [WEBINAR] Beyond interpretation: unleashing the potential of non-interpretive AI in radiology — ACR webinar (2023-05-31)
- Beyond interpretation: potential of non-interpretive AI in radiology — Strategic Radiology Meeting (2023-04-21)
- Imaging informatics entrepreneurs: a career path panel — SIIM NIIC (2023-03-10)
- AI in medical imaging: challenges and opportunities — AI4C (2023-03-09)
- Fear, hype, and reality of AI in radiology: what radiologists need to know — DCMRS Lecture Series (2023-02-23)
- AI beyond pixels: Non-interpretative AI in medical imaging, 13th Radiological Society of Saudi Arabia Annual Scientific Meeting (2023-02-09)
- Challenges of AI in medical imaging — Artificial Imaging in Medical Imaging 2022 (2022-11-19)
- AI in medical imaging: What you should know — Digital Health Canada 2022 (2022-10-26)
- Entrepreneurship and AI in medical imaging — Wharton (2022-10-15)
- From idea to product: The stages of building your great idea — ACR Imaging Informatics Summit 2022 (2022-10-14)
- Optimizing follow-up identification — ACR Quality & Safety Summit 2022 (2022-10-13)
- AI beyond pixels — AHRA 2022 (2022-07-13)
- Administrative AI: What it is and how it can impact your practice — InformaticsTECH Talk at SIIM 2022 (2022-06-09)
- [WEBINAR] Reducing burnout and improving efficiency with AI-driven workflows — Rad AI Webinar (2022-04-25)
- How informatics can get you the job of your dreams — NIIC 2022 (2022-03-04)
- Radiology AI in Prime Time — 2021 ACR Imaging Informatics Summit (2021-10-16)
- Entrepreneurship in Radiology — 4th Annual UCLA ACR Radiology Career Symposium (2021-10-09)
- How informatics can get you the job of your dreams — NIIC 2021 (2021-10-01)
- How I built this: radiology edition — SIIM 2021 (2021-05-27)
- Mining for AI gold with natural language processing — ASNR (2021-05-25)
- [WEBINAR] AI beyond interpretation — Applied Radiology Webinar (2021-04-06)
- How informatics can get you the job of your dreams — NIIC 2021 (2021-03-12)
- Fear, hype, and reality of AI in radiology — LARS 2021 (2021-02-21)
- Challenges of AI in radiology — LARS 2021 (2021-02-21)
- AI: MSK use cases and beyond interpretation — LARS 2021 (2021-02-21)
- [PANEL] Panel discussion: real life uses of AI in radiology — AIMed Radiology 2020 (2020-11-05)
- Post-implementation surveillance and monitoring of AI — 2020 ACR Imaging Informatics Summit (2020-10-27)
- Industry discussion on challenges in creating AI — 2020 ACR Imaging Informatics Summit (2020-10-27)
- AI in medical imaging: what you need to know — 2nd Annual Conference of Korea Society of Artificial Intelligence in Medicine (2020-10-24)
- AI in medical imaging: fear, hype, and reality — KAST-NAMOK Joint International Online Symposium 2020 (2020-10-23)
- How informatics can get you the job of your dreams — NIIC 2020 (2020-10-02)
- Entrepreneurship in Radiology — Integrated Imaging Informatics Tract Invited Talk at Emory University (2020-09-30)
- [WEBINAR] Importance of Validating and Monitoring AI Models — Nuance webinar: Coming full circle: accelerating AI adoption with analytics (2020-09-23)
- AI in radiology: what you need to know — AHRA 2020 Annual Meeting (2020-08-11)
- Importance of Testing and Ongoing Monitoring of AI Model — Virtual 2020 SIIM-ACR Data Science Summit (2020-06-23)
- Brittleness of AI Models — Virtual 2020 SIIM-ACR Data Science Summit (2020-06-23)
- Uncovering overlooked AI topics in radiology — AIMed Radiology Virtual Conference (2020-05-21)
- Adapting to an evolving reality: future proofing your organization — AuntMinnie Virtual Conference (2020-05-01)
- Fear, hope, hype, and challenges of AI in radiology — University of Massachusetts Medical School, Department of Radiology (2019-12-19)
- AI Theater: Will an algorithm work in your environment? The role of analytics in spotting "hits and misses" — RSNA 2019 (2019-12-02)
- Fear, hope, hype, and challenges of AI in radiology — Johns Hopkins Symposium on Engineering in Healthcare (2019-11-25)
- AI in radiology: What you need to know — RADSC ACP Academic Day 2019 at the Singapore General Hospital (2019-11-09)
- AI in Radiology: Fear, Hope, Hype, and Challenges — AHRA 2019 Regional Meeting at HSS (2019-09-17)
- How informatics can get you the job of your dreams — NIIC 2019 (2019-09-17)
- Fear, hope, and hype of artificial intelligence in medical imaging — AHRA 2019 Annual Meeting (2019-07-21)
- Benefits and challenges in deploying blockchain within healthcare — SIIM 2019 Annual Meeting (2019-06-28)
- Fear, hope, hype, and challenges of AI in radiology — Grand Rounds/Invited Lecture at the Hospital for Special Surgery (2019-04-18)
- [WEBINAR] Blockchain explained: what radiologists need to know — SIIM Webinar (2019-03-26)
- Fear, hype, and challenges of AI in radiology — 2019 Strategic Radiology Spring Summit AI Expert Panel (2019-03-17)
- Fear, hope, and hype of artificial intelligence in medical imaging — AHRA 2019 Spring Conference (2019-03-08)
- Fear, hope, and hype of artificial intelligence in medical imaging — 3rd Annual Global Artificial Intelligence Conference (2019-01-23)
- Fear, hope, and hype of artificial intelligence in radiology — Grand Rounds at Loma Linda (2018-10-30)
- Entrepreneurship in radiology — Resident lecture at Loma Linda (2018-10-30)
- Fear, hope, and hype of artificial intelligence in radiology — Grand Rounds at Creighton (2018-10-17)
- Entrepreneurship and innovation in radiology — Resident lecture at Creighton (2018-10-17)
- AI in action: AI innovation from virtual assistant to Imaging AI Marketplace at Nuance Healthcare — Growth, Innovation, and Leadership: A Frost & Sullivan Executive Summit (2018-10-02)
- [PANEL] AI’s increasing role in medical imaging: a faculty-industry panel discussion — NYMIIS 2018 (2018-09-17)
- Analytics and AI in radiology in the era of value-based care — AHRA Annual 2018 (2018-07-24)
- [KEYNOTE] Fear, hope, and hype of artificial intelligence in medical imaging. Webit — Festival Keynote 2018 (2018-06-27)
- Fear, hope, and hype of AI in radiology — Montefiore lecture (2018-06-05)
- AI models to clinical practice: open Nuance AI Marketplace for diagnostic imaging — NVIDIA GTC 2018 (2018-03-27)
- [KEYNOTE] Analytics and AI in radiology in the era of value-based care — AHRA Spring 2018 Keynote (2018-03-23)
- [KEYNOTE] Entrepreneurship and innovation in radiology — Emory University Department of Radiology Innovation Workshop Inaugural Keynote (2018-03-13)
- [KEYNOTE] Fear, hope, and hype of AI in radiology. Keynote for Deep Learning session — ECR 2018 (2018-03-04)
- What will the radiologist's job look like in 2025? ECR 2018 (2018-03-03)
- Chairperson's introduction for artificial intelligence and radiology: a perfect match? ECR 2018 (2018-03-01)
- Game changer – brave new world: embracing artificial intelligence, AR/VR, and native voice capabilities to radically change innovation — Frost & Sullivan Executive MindXchange (2018-01-24)
- A radiologist's career path to CMIO — NIIC (2018-01-11)
- Use your data to reduce costs and demonstrate your value to the hospital — RSNA 2017 (2017-11-30)
- Machine Learning Theater: AI's potential in radiology: more than just findings — RSNA 2017 (2017-11-29)
- Analytics in radiology in the era of value-based care — SCARD 2017 (2017-10-12)
- Intro to software development — NIIC (2017-10-05)
- Big data, small data, and in-between data — NIIC (2017-10-05)
- [WEBINAR] Analytics in radiology in the era of value-based care — Nuance webinar (2017-10-04)
- Analytics and artificial intelligence in radiology in the era of value-based care — Grand Rounds at the University of Wisconsin-Madison (2017-09-21)
- Entrepreneurship in radiology — Guest lecture to the residents at the University of Wisconsin-Madison (2017-09-21)
- What will the radiologist's job look like in 2025? IS3R 2017 (2017-08-24)
- Analytics in radiology in the era of value-based care — AHRA 2017 (2017-07-12)
- [KEYNOTE] Informatics keynote speaker: Using imaging informatics to improve quality and safety in the era of value-based care — RSNA 2016 (2016-12-01)
- Use your data to reduce costs and demonstrate your value to the hospital — RSNA 2106 (2016-11-27)
- Use of analytics to improve reporting and outcomes — ACR Annual Conference on Quality & Safety 2016 (2016-09-17)
- Informatics Track: Veering into Uber's lane: Building imaging reports for patients & families — ACR Annual Conference on Quality & Safety 2016 (2016-09-16)
- Radiology Reporting 102 — ACR Intersociety Summer Conference (2016-08-05)
- Tele-tele-tele-medicine: Global imaging informatics — SIIM 2016 (2016-06-30)
- The radiology report: Policy implications — ACR 2016 (2016-05-16)
- Radiology analytics: Role of informatics in transitioning to value-based care — RSNA 2015 (2015-12-03)
- [KEYNOTE] Informatics keynote speaker: Role of informatics in quality — RSNA 2015 (2015-12-03)
- Use your data to reduce costs and demonstrate your value to the hospital — RSNA 2015 (2015-12-01)
- Analytics in radiology: Transitioning to value-based care — AHRA Regional Meeting at HSS (2015-09-15)
- Big data in healthcare: Myth, hype, and hope. Point/counterpoint — SIIM 2015 ()
- High-quality reporting and improved efficiency through clinical decision support — ACR 2015 ()
- Big data and analytics — ACR 2015 ()
- Radiology quality and analytics: Role of informatics in transitioning to value-based care — Pan African Congress of Radiology and Imaging 2015 (2015-02-19)
- Ultrasound of the shoulder — Pan African Congress of Radiology and Imaging 2015 (2015-02-18)
- MRI and ultrasound imaging of soft tissue tumors and tumor-like lesions — Pan African Congress of Radiology and Imaging 2015 (2015-02-18)
- Radiology quality and analytics: Role of informatics in transitioning to value-based care — Indian Radiological & Imaging Association Annual Meeting 2015 (2015-01-30)
- Musculoskeletal malignancies: Imaging patterns, treatments, and pitfalls — Kenya Association of Radiologists Annual Scientific Conference 2014 ()
- Problem-solving: Imaging of the ankle — Kenya Association of Radiologists Annual Scientific Conference 2014 ()
- Faculty and Speaker for Hot Topic Session: BYOD: Exploring mobile technologies — SIIM 2014 ()
- Faculty for Learning Lab: Create your own app for iPhones and Android devices — SIIM 2014 ()
- [KEYNOTE] Informatics Keynote Speaker: Informatics and Quality SSK11-01 — RSNA 2013 (Dec 4)
- Trends in teleradiology: A report from the ACR Task Force on Teleradiolgy Practice — The Pennsylvania Radiological Society Annual Meeting 2013 (Sept 28)
- Peer/Self review — AHRA Annual Meeting – Physician Track 2013 (July 28)
- MRI of the knee: Subtle findings that matter — Essentials in Body & MSK Imaging 2013 (CME course from Penn)
- MRI of the hip: Diagnosing painful hip — Essentials in Body & MSK Imaging 2013 (CME course from Penn)
- MRI of the ankle: Impingement syndromes — Essentials in Body & MSK Imaging 2013 (CME course from Penn)
- Case review: Lower extremity — Essentials in Body & MSK Imaging 2013 (CME course from Penn)
- DXA: What every radiologist should know — Essentials in Body & MSK Imaging 2013 (CME course from Penn)
- Musculoskeletal malignancies: Imaging patterns, treatments and pitfalls — Oncologic Imaging: From Head to Toe 2013 (CME course from Penn)
- MSK Ultrasound: Hand and wrist — Annual MSK US Workshop at Tuttleman 2013 ()
- Faculty for Learning Lab: Create your own app for iPhones and Android devices — SIIM 2013 (June 9)
- Invited Lecture. MSK MRI: Challenging cases lower extremity — IRIA 66th Annual Conference 2013 (Jan 6)
- Invited Lecture. Data mining. Mobile technology. How to be a "cool" radiologist — IRIA 66th Annual Conference 2013 (Jan 6)
- [PANEL] Opening Session panel on The Millennials’ vision: The world as it could be — SIIM 2012 ()
- [PANEL] Faculty for Hot Topic Session: Got a great idea or designed an informatics tool? Now what? SIIM 2012 ()
- [PANEL] Faculty for Hot Topic Session: Mobile technologies in medical imaging — SIIM 2012 ()
- [PANEL] Faculty for Applied Learning Session: Advanced enterprise workflow: Informatics & IT methods for improvements — SIIM 2012 ()
- Faculty for Learning Lab: Create your own app for iPhones and Android devices — SIIM 2012 ()
- PRRS Blue Ribbon Lecture on Search radiology, pathology and beyond: Challenges and benefits of data mining — PRRS Jan 2012 ()
- Searching radiology, pathology and beyond — RSNA 2011 ()
- Searching radiology, pathology and beyond — AHRA 2011 ()
- Faculty for Architecture and Planning Learning Lab — SIIM 2011 ()
- [MODERATOR] Moderator for Next generation 3D and advanced visualization: Hype vs. reality — SIIM 2011 ()
- Faculty for LT 5: Communication Educational Session – Orders, results and beyond: Communication in radiology — SIIM 2011 ()
- Co-chair and roving tour guide for Scientific Posters & Demonstrations Roving Tour Session — SIIM 2011 ()
- Faculty for Sunday Learning Series: Tools of the Trade Learning Labs – Understanding natural language processing — SIIM 2011 ()
- [MODERATOR] Moderator for Communications Tools Roundtable — SIIM 2011 ()
- DXA. Invited CME lecture for UPHS Division of Community Radiology 4/7/2010 ()
- PRESTO: A search and data mining application for radiology, pathology, and beyond. Invited speaker for Johns Hopkins University 1/28/2010 ()
- Finding the right information at the time of patient care: Yottalook case study — RSNA 2009 ()
- GUIs: Lessons learned in radiology — SIIM 2008 ()

---

## PUBLICATIONS (63+)

- Towbin AJ, Kim W, Kottler N; for the 2025 Academy Roundtable participants. Bridging Industry and Academia: Proceedings from the 2025 Academy Roundtable on AI Implementation in Medical Imaging. Radiol Artif Intell. 2026 May;8(3):e250671. doi: 10.1148/ryai.250671 doi:10.1148/ryai.250671
- Coombs LP, Brink L, Kim W, Wald C, Schmidt K, Tilkin M, Dreyer K, Cook T, Bizzo B. ACR's Assess-AI: A Registry for Real-World Performance Monitoring of Clinical Imaging Artificial Intelligence. J Am Coll Radiol. 2026 Apr 29 [Epub ahead of print]. doi: 10.1016/j.jacr.2026.04.024. PII: S1546-1440(26)00231-0 doi:10.1016/j.jacr.2026.04.024
- Mese I, Akinci D'Antonoli T, Bluethgen C, et al, Kim W, Kocak B. Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline. Diagn Interv Radiol. 2026 Feb 26 [Epub ahead of print]. doi: 10.4274/dir.2026.263812 doi:10.4274/dir.2026.263812
- Kim W. Frozen shoulder. Radiol Adv. 2025 Sep 4;2(5):umaf008. doi: 10.1093/radadv/umaf008 doi:10.1093/radadv/umaf008
- Yi PH, Have HL, Jeudy JJ, Kim W, Kitamura FC, Oluyemi ET, Smith AD, Moy L, Parekh VS. Best practices for the safe use of large language models and other generative AI in radiology. Radiology 2025 doi: 10.1148/radiol.241516 doi:10.1148/radiol.241516
- Li D, Kim W, Yi PH. Methodological challenges in evaluating large language models in radiology. Radiology 2024 Dec. doi: 10.1148/radiol.241711 doi:10.1148/radiol.241711
- Kim W. Seeing the unseen: advancing generative AI research in radiology. Radiology 2024 May 21. doi:10.1148/radiol.240935 doi:10.1148/radiol.240935
- Bhayana R, Biswas S, Cook TS, Kim W, Kitamura FC, et al. From bench to bedside with large language models: AJR expert panel narrative review. AJR Am J Roentgenol. 2024 Apr 10. doi: 10.2214/AJR.24.30928. doi:10.2214/AJR.24.30928
- Kim, W. Re: “New Horizons: The Potential Role of OpenAI’s ChatGPT in Clinical Radiology.” J Am Coll Radiol. 2023 Nov7:S1546-1440(23)00852-9. doi: 10.1016/j.jacr.2023.10.020. Online doi:10.1016/j.jacr.2023.10.020
- Rothenberg S, Gupta S, Boonn, W, Kim W. Translation of Artificial Intelligence Into Practice: The Radiologist as a Vendor. J Am Coll Radiol. 2023 Sep;20(9):875-876. doi: 10.1016/j.jacr.2023.06.021. Epub 2023 Jul 19. doi:10.1016/j.jacr.2023.06.021
- Kim, W. “Reporting and Dictation” Chapter in: Practical Imaging Informatics: Foundations and Applications for Medical Informatics. Second Edition. Springer 2021.
- Abdullah S, Rothenberg S, Siegel E, Kim W. School of Block: Review of Blockchain for the Radiologists. Acad Radiol. 2020;27(1):47-57.
- Morey J, Haney N, Kim W. “Applications of A.I. beyond image interpretation” Chapter in: Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risk. Springer Nature Switzerland AG 2019 (https://doi.org/10.1007/978-3-319-94878-2)
- Kruskal JB, Berkowitz S, Geiss R, Kim W, et al. Big data and machine learning – strategies for driving this bus: A summary of the 2016 Intersociety Summer Conference. J Am Coll Radiol Jun 2017
- Kesselman A, Sorrosh G, Mollura DJ, RAD-AID Conference Writing Group (that includes Kim W). 2015 RAD-AID Conference on international radiology for developing countries: The evolving global radiology landscape. J Am Coll Radiol Sep 2016
- Baker JF, Von Feldt JM, Mostoufi-Moab S, Kim W, Taratuta E, Leonard MB. Insulin-like growth factor 1 and adiponectin and associations with muscle deficits, disease characteristics, and treatments in rheumatoid arthritis. J Rheumatol. 2015 Nov;42(11):2038-45.
- Culp M, Mollura DJ, Maza J, RAD-AID Conference Writing Group (that includes Kim W). 2014 RAD-AID conference on international radiology for developing countries: The road ahead for global health radiology. J Am Coll Radiol May 2015
- Licurse MY, Kim SH, Kim W, Ruutiainen AT, Cook TS. Comparison of diagnostic accuracy of plain film radiographs between original film and smartphone capture: a pilot study. J Digit Imaging Apr 2015
- Weiss DL, Kim W, Branstetter BF 4th, Prevedello LM. Radiology reporting: A closed-loop cycle from order entry to results communication. J Am Coll Radiol 2014 Dec 11:1226-37. [Epub ahead of print] PMID: 25467899
- Hirschorn DS, Choudhri AF, Shih G, Kim W. Use of mobile devices for medical imaging. J Am Coll Radiol 2014 Dec 11:1277-85 [Epub ahead of print] PMID: 25467905
- Schwartz AB, Siddiqui G, Barbieri JS, Akhtar AL, Kim W, et al. The accuracy of mobile teleradiology in the evaluation of chest X-rays. J Telemed Telecare 2014 Oct 16 [Epub ahead of print] PMID: 25322696
- Baker JF, Von Feldt J, Mostoufi-Moab, S, Noaiseh G, Taratuta E, Kim W, Leonard MB. Deficits in muscle mass, muscle density, and modified associations with fat in rheumatoid arthritis. Arthritis Care Res 2014 Mar 24 [Epub ahead of print].
- Lee GC, Khoury V, Steinberg D, Kim W, Dalinka M, Steinberg M. How do radiologists evaluate osteonecrosis? Skeletal Radiol 2014;43:607-14.
- Chen DJ, Caldera FE, Kim W. Diagnosing adductor muscle avulsion at the symphysis pubis with ultrasound. Am J Phys Med Rehabil. 2014;93:346-8.
- Itri JN, Jones LP, Kim W, Boonn WW, Kolansky AS, Hilton S, Zafar HM. Developing an automated database for monitoring ultrasound- and computed tomography-guided procedure complications and diagnostic yield. J Digit Imaging. 2014;27:270-9.
- Chen DJ, Caldera FE, Kim W. Acute Achilles tendinopathy diagnosed with ultrasound. Am J Phys Med Rehabil. 2014;93:548-9.
- Cook TS, Couch G, Couch TJ, Kim W, Boonn WW. Using the Microsoft Kinect for patient size estimation and radiation dose normalization: Proof of concept and initial validation. J Digit Imaging. 2013;26(4):657-62.
- Cook TS, Sundaram A, Boonn WW, Kim W. An interactive RADIANCE toolkit for customizable CT dose monitoring and reporting. J Digit Imaging. 2013;26(4):663-7.
- Silva E 3rd, Breslau J, Barr RM, Liebscher LA, Bohl M, Hoffman T, Boland GW, Sherry C, Kim W, Shah SS, Tilkin M. ACR white paper on teleradiology practice: A report from the Task Force on Teleradiology Practice. J Am Coll Radiol. 2013;10:575-85.
- Lakhani P, Kim W, Langlotz CP. Automated extraction of critical test values and communications from unstructured radiology reports: An analysis of 9.3 million reports from 1990 to 2011. Radiology. 2012;256:809-818.
- Caldera FE, Kim W. MSK Case No. 27: Left sided groin pain and left sided lower abdominal pain. AAPM&R Case of the Month, EMG Case #27. June 2012, http://me.e- aapmr.org/CaseStudies.aspx.
- Mariani C, Caldera FE, Kim W. Ultrasound versus magnetic resonance imaging in the diagnosis of an acute hamstring tear. PM&R. 2012;4(2):154–155.
- Hagland M, Kim W. When radiologists ‘Google’. Interview by Mark Hagland. Health Inform. 2012;29(1):32-5 (PMID: 22352142).
- Lakhani P, Kim W, Langlotz CP. Automated detection of critical results in radiology reports. J Digit Imaging. 2012;25(1):30-6.
- Zopf JJ, Langer JM, Boonn WW. Kim W, Zafar HM. Development of automated detection of radiology reports citing adrenal findings. J Digit Imaging. 2012;25(1):43-9.
- Cook TS, Zimmerman SL, Steingall S, Boonn WW, Kim W. An algorithm for intelligent sorting of CT-related dose parameters. J Digit Imaging. 2012;25(1):179-88.
- Pathak SD, Kim W, Munasinghe I, Criminisi A, White S, Siddiqui K. Linking DICOM pixel data with radiology reports using automatic semantic annotation. Proc SPIE 2012; DOI:10.1117/12.912391. doi:10.1117/12.912391
- Horii SC, Kim W, Boonn W, Iyoob C, Maston K, Coleman BC: Utility of rapid database searching for quality assurance: 'detective work' in uncovering radiology coding and billing errors. Proc SPIE Advanced PACS-Based Imaging Informatics and Therapeutic Applications. 2011; 7967; 796705-1 – 796705-8.
- Cook TS, Zimmerman SL, Steingall S, Maidment ADA, Kim W, Boonn WW. RADIANCE: An automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates. RadioGraphics. 2011;31(7):1833-46.
- Itri JN, Kim W, Scanlon MH. Orion: A web-based application designed to monitor resident and fellow performance on-call. J Digit Imaging. 2011;24(5):897-907.
- Zimmerman SL, Kim W, Boonn WW. Informatics in Radiology: Automated structured reporting of imaging findings using the AIM standard and XML. Radiographics. 2011;31(3):881-7.
- Cook TS, Stein JM, Simonson S, Kim W. “Normal and variant anatomy of the shoulder on MRI.” Magnetic Resonance Imaging Clinics of North America. 2011;19(3):581-94.
- Stein JM, Cook TS, Simonson S, Kim W. “Normal and variant anatomy of the elbow on magnetic resonance imaging.” Magnetic Resonance Imaging Clinics of North America. 2011;19(3):609-19.
- Stein JM, Cook TS, Simonson S, Kim W. “Normal and variant anatomy of the wrist and hand on MR imaging.” Magnetic Resonance Imaging Clinics of North America. 2011;19(3):595-608.
- Kim W. “Extremity plain films and trauma.” Ch. 36. In: Radiology Secrets Plus, 3rd. Elsevier, Philadelphia, ©2011.
- Kim W. “Plain film examination of spinal trauma.” Ch. 37. In: Radiology Secrets Plus, 3rd. Elsevier, Philadelphia, ©2011.
- Cook TS, Zimmerman S, Maidment AS, Kim W, Boonn WW. Automated extraction of radiation dose information for CT examinations. J Am Coll Radiol. 2010;7(11):871-877.
- Rubin DL, Flanders A, Kim W, Siddiqui KM, Khan CE. Ontology-assisted analysis of web queries to determine the knowledge radiologists seek. J Digit Imaging. 2010;24(1):160-4.
- Zwemer J, Lenhart A, Kim W, Siddiqui KM, Siegel EL. Effect of ambient sound masking on the accuracy of computerized speech recognition. Radiology. 2009;252:691-95.
- Ramakrishna B, Liu W, Saiprasad G, Safdar N, Chang CI, Siddiqui K, Kim W, et al. An automated computer-aided detection system for meniscal tears on magnetic resonance images. IEEE Trans Med Imaging. 2009;28:1308-16.
- Kim W & Rosen MA. MR imaging of prostate. Contemporary Diagnostic Radiology. Accepted for publication.
- Kim W, Rosen MA, Langer JE, Banner MP, Siegelman ES, Ramchandani P. US-MRI correlation of scrotal pathology. RadioGraphics. 2007;27:1239-53.
- Balcombe J, Torigian D, Kim W, Miller Jr W. Cross sectional imaging of paragangliomas of the aortic body and other thoracic branchiomeric paraganglia. AJR Am J Roentgenol. 2007;188:1054- 8.
- Kim W, Pyeritz RE, Bernhardt BA, Casey M, Litt HI. Pulmonary manifestations of Fabry disease and positive response to enzyme replacement therapy. Am J Med Genet. 2007;143:377-81.
- Hollander JE, Litt HI, Chase M, Brown AM, Kim W, Baxt WG. Computed tomorgraphy coronary angiography for rapid disposition of low-risk emergency department patients with chest pain syndromes. Acad Emerg Med 2007;14:112-6.
- Kim W & Roach N. “Extremity plain films and trauma.” Ch. 34. In: Radiology Secrets, 2nd. Elsevier, Philadelphia, ©2006.
- Kim W & Roach N. “Plain film examinations of spinal trauma.” Ch. 35. In: Radiology Secrets, 2nd. Elsevier, Philadelphia, ©2006.
- Kim W, Yun M, Alnafisi N, Hickeson M, Alavi A. False-negative interpretation of FDG positron emission tomography in a patient with Hodgkin’s lymphoma. Clinical Nuclear Medicine. 2002;27:367-8.
- Yun M, Kim W, Alnafisi N, Lacorte L, Jang S, Alavi A. 18F-FDG PET in characterizing adrenal lesions detected on CT or MRI. Journal of Nuclear Medicine. 2001;42:1795-9.
- Yun M, Kim W, Adam LE, Alnafisi N, Herman C, Alavi A. F-18 FDG uptake a patient with psoriatic arthritis: Imaging correlation with patient symptoms. Clinical Nuclear Medicine. 2001;26:692-3.
- Kim W, Clark TW, Baum RA, Soulen MC. Risk factors for liver abscess formation after hepatic chemoembolization. Journal of Vascular & Interventional Radiology. 2001;12:965-8.
- Kim W, Clancy RR, Liu GT. Horner syndrome associated with implantation of a vagus nerve stimulator. American Journal of Ophthalmology. 2001;131:383-4.
- MacEvoy SP, Kim W, Paradiso MA. Integration of surface information in primary visual cortex. Nature Neuroscience. 1998;1:616-20.

---

Generated from CV. For more, visit https://woojinkim.com