AI-supported clinical decision-making: in silico simulation of physician-AI interactions

Results demonstrate that AI assistance, particularly when paired with confidence calibration, enhances human decision-making, especially for uncertain or moderately skilled users. However, over-trusting low-competence AI can impair outcomes for high-performing agents. Tailored AI-human collaboration strategies are essential for optimizing clinical decision support.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-01-09
DOI
https://doi.org/10.3389/fdgth.2025.1697825
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-supported clinical decision-making: in silico simulation of physician-AI interactions

G Hofmann
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
article

AI-supported clinical decision-making: in silico simulation of physician-AI interactions

G Hofmann
article en

Abstract

Results demonstrate that AI assistance, particularly when paired with confidence calibration, enhances human decision-making, especially for uncertain or moderately skilled users. However, over-trusting low-competence AI can impair outcomes for high-performing agents. Tailored AI-human collaboration strategies are essential for optimizing clinical decision support.

Frontiers in Digital HealthVol. 7
Institute for Interdisciplinary Studies of Austrian Universities (AT)
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare and Education
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AI-supported clinical decision-making: in silico simulation of physician-AI interactions — G Hofmann · Frontiers in Digital Health (2026) | TGRS Research Map | TGRS