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

ABSTRACT:

Objective

While the integration of modern AI systems in clinical practice is currently in the process of transforming how medicine is being practiced, the focus of most research activities lies on AI-associated efficacy and safety. However, the interplay between human agents and AI systems will equally shape the actual impact of such systems.

Methods

This study simulated human decision-making using 27 agents characterized by varying levels of competence, certainty, and trust. Agents completed binary and three-option decision tasks, both with and without AI assistance. AI models varied in competence (0.3-0.9) and, in some simulations, included confidence signals to influence human trust dynamically. Each scenario involved 10,000 simulated decisions per agent. In AI-assisted c

SUBMITTER: Hofmann A 

PROVIDER: S-EPMC12827601 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature