Preprint

Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework
The competency of any intelligent agent is bounded by its formal account of the world in which it operates. Clinical AI lacks such an …
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The challenge of uncertainty quantification of large language models in medicine
This study investigates uncertainty quantification in large language models (LLMs) for medical applications, emphasizing both technical …
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Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
This study evaluated self-reported response certainty across several large language models (GPT, Claude, Llama, Phi, Mistral, Gemini, …
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Reporting Risks in AI-based Assistive Technology Research: A Systematic Review
Artificial Intelligence (AI) is increasingly employed to enhance assistive technologies, yet it can fail in various ways. We conducted …
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