Akshay Chaudhari’s group publishes new paper in Nature Medicine on adapting open-source and closed-source large language models for clinical text summarization tasks. The paper presents a framework for quantitative and qualitative evaluation of language models, showing that the best adapted models can even outperform medical experts.
Read it here: https://www.nature.com/articles/s41591-024-02855-5
DBDS’ Rob Tibshirani is the recipient of the 2024 Senior Leo Breiman Award from the Statistical Learning and Data Science Section of the American Statistical Association for outstanding contributions to the statistical learning, statistical computing and biostatistics fields.
Congratulations, Rob!
StanfordMed LIVE: The State of AI in Health and Medicine
Join StanfordMed LIVE for this special panel discussion on the state of AI in health and medicine on March 18, from 12-1 p.m. at 500P Assembly Hall (virtual option available). Following opening remarks by Stanford Medicine’s three leaders – Dean Lloyd Minor, David Entwistle and Paul King – there will be a panel discussion featuring David Magnus, PhD; Natalie Pageler, MD; Michael Pfeffer, MD; Sylvia Plevritis, PhD; and Nigam Shah, MBBS, PhD. Lunch will be available for in-person attendees.
DBDS’ Roxana Daneshjou was selected as 2024 recipient of the American Academy of Dermatology Young Investigator Award for her significant research advances in the science and practice of dermatology. Congratulations, Roxana!