Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach

Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach

This study applies a systems thinking approach to examine the complex dynamics influencing clinicians’ trust in artificial intelligence (AI). We propose a conceptual model that maps how trust in AI evolves in response to key factors such as workload, diagnostic difficulty, AI accuracy, pa...

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Bibliographic Details
Main Authors: Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
clinical decision support systems
clinician expertise
diagnostic complexity
healthcare systems
human–computer interaction
Online Access:https://ieeexplore.ieee.org/document/11072147/
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