This collection of proceedings addresses the latest advancements in medical image computing and computer-assisted intervention, focusing on the intersection of artificial intelligence and healthcare. The papers presented cover a range of specialized workshops held in conjunction with MICCAI 2023, including topics such as skin imaging, responsible AI for medical data analysis, foundation models for medical AI, federated learning, time-series data analytics, lesion evaluation, AI for treatment response prediction, multiscale multimodal medical imaging, and resource-efficient medical imaging analysis. The collective work represents a significant portion of the research presented at the conference, offering insights into the practical application of cutting-edge computational techniques in medical diagnostics and treatment.

This volume compiles research from various specialized workshops at MICCAI 2023, indicating a focus on niche but critical areas within medical image computing. The inclusion of papers on responsible AI, foundation models, and resource-efficient methods suggests a forward-looking perspective on the practical and ethical implementation of AI in healthcare. The breadth of topics covered, from specific imaging modalities to treatment prediction, highlights the interdisciplinary nature of the field and its growing impact on clinical practice.