clinical decision-making
PulseAugur coverage of clinical decision-making — every cluster mentioning clinical decision-making across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI in clinical decision-making easily swayed by authority and fabricated views
A new study published on arXiv reveals that AI systems used in clinical decision-making are highly susceptible to persuasion. Researchers found that factors such as professional authority, national background, instituti…
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Physicians in Sweden secretly use unauthorized AI for clinical decisions
A qualitative analysis of physician responses in Swedish healthcare has revealed the widespread use of unauthorized AI tools for clinical decision-making, administration, research, and learning. The study highlights a s…
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Medical AI struggles with unknown data, requiring Out-of-Distribution Detection
This article discusses the challenge of Out-of-Distribution Detection (OOD) in medical AI systems. It explains that while AI models can perform well on data similar to their training set, they often fail when deployed i…
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Agentic AI boosts physician trust in clinical decisions, study finds
A new study published on arXiv explores the impact of agentic AI on physician trust in clinical decision-making. Researchers found that physicians exhibited significantly higher cognitive and behavioral trust in agentic…
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AI Rater Discrimination Varies With Scoring Protocol in Clinical Tasks
A new study published on arXiv investigates how different scoring protocols affect the discrimination capabilities of AI raters in complex clinical decision-making tasks. The research found that rubric-anchored scoring …
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New benchmarks and frameworks enhance LLM reliability in clinical settings
Researchers have developed new benchmarks and frameworks to improve the reliability and safety of large language models (LLMs) in clinical decision-making. EHRBench and MedCase-Structured aim to evaluate LLMs on realist…