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20232026
most citedTowards Expert-Level Medical Question Answering with Large Language Models

335 citations · 682 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Advancing Conversational Diagnostic AI with Multimodal Reasoning

Khaled Saab, Jan Freyberg, Chunjong Park +33

Large Language Models (LLMs) have demonstrated great potential for conducting diagnostic conversations but evaluation has been largely limited to language-only interactions, deviat…

cs.CL20253 cited

Towards Conversational AI for Disease Management

Anil Palepu, Valentin Liévin, Wei-Hung Weng +17

While large language models (LLMs) have shown promise in diagnostic dialogue, their capabilities for effective management reasoning - including disease progression, therapeutic res…

cs.CL202325 cited

The Capability of Large Language Models to Measure Psychiatric Functioning

Isaac R. Galatzer-Levy, Daniel McDuff, Vivek Natarajan +2

The current work investigates the capability of Large language models (LLMs) that are explicitly trained on large corpuses of medical knowledge (Med-PaLM 2) to predict psychiatric…

cs.CL202328 cited

Towards Generalist Biomedical AI

Tao Tu, Shekoofeh Azizi, Danny Driess +29

Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly en…

cs.CL2023335 cited

Towards Expert-Level Medical Question Answering with Large Language Models

Karan Singhal, Tao Tu, Juraj Gottweis +28

Recent artificial intelligence (AI) systems have reached milestones in "grand challenges" ranging from Go to protein-folding. The capability to retrieve medical knowledge, reason o…