This volume presents the proceedings of three specialized workshops held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). The workshops—LDTM 2024 (Longitudinal Disease Tracking and Modeling), MMMI/ML4MHD 2024 (Multiscale Multimodal Medical Imaging and Machine Learning for Multimodal/-sensor Healthcare Data), and ML-CDS 2024 (Multimodal Learning and Fusion Across Scales for Clinical Decision Support)—focus on cutting-edge research in medical image analysis, machine learning applications in healthcare, and clinical decision support systems. The papers showcase advancements in modeling disease progression, integrating diverse data sources, and developing intelligent systems for healthcare.

This collection of proceedings offers a focused look at specialized areas within medical image computing and computer-assisted intervention, as presented at MICCAI 2024. The papers represent the output of three distinct workshops, each targeting a specific domain: longitudinal disease tracking, multimodal imaging and machine learning, and clinical decision support. The inclusion of acceptance rates for each workshop provides a quantitative measure of the selectivity of the presented research. The overall scope suggests a technical audience interested in the latest research findings and methodologies in these subfields.