Artificial Intelligence in Medicine - 23rd International Conference, AIME 2025, Pavia, Italy, June 23-26, 2025, Proceedings, Part I

This book constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Medicine, AIME 2025, which took place in Pavia, Italy, during June 23-26, 2025. 
The 49 full papers and 81 short papers included in the proceedings were carefully reviewed and selected from 311 submissions. They deal with the development of theory, methods, systems, and applications of AI in biomedicine, including the application of AI approaches in biomedical informatics, healthcare organization, and molecular medicine.

List of contents

.- Combining Clinical and Gene Expression Variables via Knowledge Graph Embedding for Prediction of Coronary Artery Stenosis.
.- fMRI Analysis for Alzheimer's Disease Detection: Traditional vs. Deep Learning Models.

Summary

This book constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Medicine, AIME 2025, which took place in Pavia, Italy, during June 23-26, 2025. 
The 49 full papers and 81 short papers included in the proceedings were carefully reviewed and selected from 311 submissions. They deal with the development of theory, methods, systems, and applications of AI in biomedicine, including the application of AI approaches in biomedical informatics, healthcare organization, and molecular medicine.

Product details

• Assisted by: Riccardo Bellazzi (Editor), Jose Manuel Juarez Herrero (Editor), Jose Manuel Juarez Herrero (Editor), Lucia Sacchi (Editor), Lucia Sacchi et al (Editor), Blaz Zupan (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 28.08.2025
• EAN: 9783031958373
• ISBN: 978-3-0-3195837-3
• No. of pages: 490
• Illustrations: Approx. 490 p.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, Artificial Intelligence, angewandte informatik, Medizinische Forschung, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Maschinelles Sehen, Bildverstehen, Computeranwendungen in Industrie und Technologie, bioinformatics, Computer Vision, Image Analysis, Health Informatics, Natural Language Processing, Computer and Information Systems Applications, Signal Processing, Biomedical Research, Image processing, Information Storage and Retrieval, Computational biology, Applied computing, computer networks, Computer systems, modeling and simulation, Computing methodologies, life and medical sciences