Human-AI Collaboration - First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

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.

Sommario

.- 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.

Dettagli sul prodotto

• Con la collaborazione di: Xiaoqiang Guo (Editore), Xiaoqing Guo (Editore), Yueming Jin (Editore), Hala Lamdouar (Editore), Hala Lamdouar et al (Editore), Qianhui Men (Editore), Cheng Ouyang (Editore), Manish Sahu (Editore), S Swaroop Vedula (Editore), S. Swaroop Vedula (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 04.12.2025
• EAN: 9783032089694
• ISBN: 978-3-0-3208969-4
• Pagine: 104
• Dimensioni: 155 mm x 6 mm x 235 mm
• Peso: 190 g
• Illustrazioni: X, 104 p. 39 illus., 33 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; machine learning, Artificial Intelligence, computer science, Human Factor, AI for healthcare, medical image computing, Human-AI collaboration, Human skill enhancement, Computer assisted intervention