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20182026
most citedTowards Expert-Level Medical Question Answering with Large Language Models

335 citations · 1.3k across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 13 cited

Tx-LLM: A Large Language Model for Therapeutics

Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu +7

Developing therapeutics is a lengthy and expensive process that requires the satisfaction of many different criteria, and AI models capable of expediting the process would be inval…

cs.AI2024★ 96 cited

Capabilities of Gemini Models in Medicine

Khaled Saab, Tao Tu, Wei-Hung Weng +64

Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of…

cs.CY2024★ 99 cited

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27

Large language models (LLMs) hold promise to serve complex health information needs but also have the potential to introduce harm and exacerbate health disparities. Reliably evalua…

cs.CY2024★ 22 cited

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

Abbi Ward, Jimmy Li, Julie Wang +17

Background: Health datasets from clinical sources do not reflect the breadth and diversity of disease in the real world, impacting research, medical education, and artificial intel…

cs.AI2024★ 100 cited

Towards Conversational Diagnostic AI

Tao Tu, Anil Palepu, Mike Schaekermann +22

At the heart of medicine lies the physician-patient dialogue, where skillful history-taking paves the way for accurate diagnosis, effective management, and enduring trust. Artifici…