Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework

arXiv:2311.11055v2 Announce Type: replace-cross
Abstract: This paper explores the significant impact of AI-based medical devices, including wearables, telemedicine, large language models, and digital twins, on clinical decision support systems. It emphasizes the importance of producing outcomes that are not only accurate but also interpretable and understandable to clinicians, addressing the risk that lack of interpretability poses in terms of mistrust and reluctance to adopt these technologies in healthcare. The paper reviews interpretable AI processes, methods, applications, and the challenges of …

abstract arxiv clinical clinician collaboration cs.ai cs.hc cs.lg decision decision support designing devices digital digital twins framework healthcare impact importance language language models large language large language models medical medical devices paper responsible review support systems telemedicine trust twins type wearables