Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI
The study “Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI” investigates how different types of AI explanations affect diagnostic accuracy and trust among physicians using AI for chest radiographs. It explores the impact of various explanation styles on physicians’ confidence and decision-making quality. Findings indicate that explanation quality is crucial for improving diagnostic performance and fostering trust in AI systems. Emphasizing tailored explanations can enhance the integration of AI tools in clinical settings.
