Overview

This book constitutes the refereed proceedings of the First International Workshop, HAIC 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, in September 27, 2025. The 9 full papers presented in this book were carefully selected and reviewed from 12 submissions. These papers have been organized in the following topical sections: Medical image computing; computer-assisted intervention; human-ai collaboration; human-computer interaction; human factor modeling; medical image analysis.

Full Product Details

Author:   Xiaoqing Guo ,  Yueming Jin ,  Hala Lamdouar ,  Qianhui Men
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032089694

ISBN 10:   3032089697
Pages:   104
Publication Date:   30 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Design and assessment for joint systems and workflows. .- Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only “Better or Worse” Expert Feedback. .- A methodology for clinically driven interactive segmentation evaluation. .- Interactive environments for clinical training, education,and human-AI teaming. .- Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition. .- Real-Time, Dynamic, and Highly Generalizable Ultrasound Image Simulation-Guided Procedure Training System for Musculoskeletal Minimally Invasive Treatment. .- Human-in-the-loop model training. .- Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi-modal Gross Tumor Volume Segmentation. .- Guided Active Learning for Medical Image Segmentation. .- Applications of human-AI interaction, collaboration, and human factor analysis. .- User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents. .- Simulating Inter-observer Variability Across Clinical Experience Levels. .- Boosting transparency, interpretability, and risk management. .- Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays.

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions