Two figures. An unknown path ahead.
Five years in, and the course has crystallized around one question: who writes the field guide?
Training clinical scientists to answer that.
Cultivating next gen of health professionals and AI in Med scientists!
@PennMedPhys@mcbethlab at Penn High School Summer Program explaining the role of AI in clinic and future pathways in #RadOnc and medicine.
Excited to teach and mentor HS students through the summers!
The authors of a new Perspective report on the Development, Evaluation, and Assessment of Large Language Models (DEAL) checklist, which ensures comprehensive and consistent reporting of LLM studies. Learn more: https://t.co/nWhE6loHUo
🚨 New in @NEJM_AI!
We are excited to present the DEAL Checklist — a reproducibility & reporting framework for medical LLM research.
Read the full article: https://t.co/OG8Ojm8xif
Let’s make #LLM science transparent & rigorous.
🚀 AI is transforming proton therapy! Join experts at #2025NPC to explore AI’s impact on treatment planning, efficiency & patient access.
🗓 April 27: 1:45– 2:30 PM
🎤 Dr. Rafe McBeth & Dr. William Green of @PennMedicine@PennCancer
Register now! ⬇️
🔗 https://t.co/66jSEvC79q
Don't miss our session at #SIIM25!
Talking about what's "Hype" and what's actually "Hip" when it comes to #LLMs in #radiology
With @DaniaDaye, Hana Haver, and @RafeMcbeth
https://t.co/gVJoYaCdWV
@parmita Same. We talk about this often in Radiation Oncology. The physics error bars are much much tighter than the biology error bars and it makes us sad that clinical ground truth is uhhh.. fuzzy
A great line up of talks and good wisdom in the morning session on #LLMs in the clinical workflow.
Focusing both on DOs and DONT’s of LLM research. #SIIM24
Thanks to @RafeMcbeth, @asset25, and @DaniaDaye for making this is a success!
Great “Point-Counterpoint: AI or FLASH: What will have a bigger impact on clinical medical physics?” at the DVCAAPM Spring Symposium by Dr. Rafe McBeth (@RafeMcbeth) and Dr. Ioannis Verginadis (@YVerginadis) @aapmHQ