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cs.AI2025
A Field Guide to Deploying AI Agents in Clinical Practice
Jack Gallifant, Katherine C. Kellogg, Matt Butler +19
Large language models (LLMs) integrated into agent-driven workflows hold immense promise for healthcare, yet a significant gap exists between their potential and practical implemen…
cs.AI2025
Large language models require a new form of oversight: capability-based monitoring
Katherine C. Kellogg, Bingyang Ye, Yifan Hu +3
The rapid adoption of large language models (LLMs) in healthcare has been accompanied by scrutiny of their oversight. Existing monitoring approaches, inherited from traditional mac…
cs.AI2024
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
Yanjun Gao, Skatje Myers, Shan Chen +7
Large language models (LLMs) are being explored for diagnostic decision support, yet their ability to estimate pre-test probabilities, vital for clinical decision-making, remains l…