{"product_id":"9783032089694","title":"Human-AI Collaboration : First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eThe 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:\u003c\/p\u003e\u003cp\u003eMedical image computing; computer-assisted intervention; human-ai collaboration; human-computer interaction; human factor modeling; medical image analysis.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Design and assessment for joint systems and workflows.\u003c\/strong\u003e\n.- Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only Better or Worse Expert Feedback.\n.- A methodology for clinically driven interactive segmentation evaluation.\n\u003cstrong\u003e.- Interactive environments for clinical training, education,and human-AI teaming.\u003c\/strong\u003e\n.- Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition.\n.- Real-Time, Dynamic, and Highly Generalizable Ultrasound Image Simulation-Guided Procedure Training System for Musculoskeletal Minimally Invasive Treatment.\n\u003cstrong\u003e.- Human-in-the-loop model training.\u003c\/strong\u003e\n.- Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi-modal Gross Tumor Volume Segmentation.\n.- Guided Active Learning for Medical Image Segmentation.\n\u003cstrong\u003e.- Applications of human-AI interaction, collaboration, and human factor analysis.\u003c\/strong\u003e\n.- User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents.\n.- Simulating Inter-observer Variability Across Clinical Experience Levels.\n\u003cstrong\u003e.- Boosting transparency, interpretability, and risk management.\u003c\/strong\u003e\n.- Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":52442453705015,"sku":"00000_00000_00000_00000","price":297.93,"currency_code":"MYR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0962\/3548\/7543\/files\/9783032089694-1.jpg?v=1783263598","url":"https:\/\/kinokuniya.com.my\/products\/9783032089694","provider":"Books Kinokuniya Malaysia","version":"1.0","type":"link"}