Probabilistic medical predictions of large language models

Abstract Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction probabilities, which are crucial for transparency and decision-making. While explicit prompts ca...

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Bibliographic Details
Main Authors: Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01366-4
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