Nassarian, Elham2025-07-252025-07-252025-04-14https://hdl.handle.net/10919/136912This research systematically reviews interpretable machine learning (IML) and explainable AI (XAI) in healthcare, proposing a Responsible Clinician-AI Collaboration Framework. It introduces a novel three-level interpretability process and step-by-step roadmap to enhance AI-clinician communication, fostering trust and improving decision-making in clinical decision support systems (CDSS).Dimensions: 1920 × 1080Duration: 00:04:55Size: 11.5 MBvideo/mp4text/vttenIn CopyrightIndustrial and Systems EngineeringEnhancing AI-Clinician Interaction: Building Trust to Improve Patient OutcomesVideo