Next-Gen Healthcare: AI-Powered Medical Innovations - Couverture rigide

 
9783032072665: Next-Gen Healthcare: AI-Powered Medical Innovations
Couverture rigide
ISBN 10 : 3032072662 ISBN 13 : 9783032072665
Editeur : Springer Nature Switzerland AG, 2026

Synopsis

Next-Gen Healthcare: AI-Powered Medical Innovations surveys how AI is transforming medicine from core methods to clinical deployment, emphasizing that technological power must be balanced with resilience, safety, and ethics. Part I covers the foundations of trustworthy medical AI, including adversarial defenses, cross-population generalization, optimized fine-tuning, interpretability for high-stakes decisions, and frontiers like quantum neural networks, ending with large language models focused on error detection, privacy, and patient safety.

Part II  applies AI methods to real-world domains: early Alzheimer’s and dementia diagnosis, oncology via lymphoma response prediction, chronic disease management with diabetes stratification and retinopathy detection, and extensions into dermatology, obesity, and mental health. The book’s introduce safeguards first, then generalizable and cutting-edge methods, ending with disease-focused AI applications. Its philosophy that safety underpins innovation and clinical impact, offering both a map of today’s medical AI and a guide to future opportunities

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Nour Eldeen M. Khalifa received his B.Sc., M.Sc., and Ph.D. degree in 2006, 2009 and 2013 respectively, all from Cairo University, Faculty of Computers and Artificial Intelligence, Cairo, Egypt. He also had a Professional M.Sc. Degree in Cloud Computing in 2018. He authored/coauthored more than 50 publications and 4 edited books. He had more than 4000 citations. His name had been consecutively listed among Stanford University's top 2% of global scholars (2022-2023-2024). He had the Encouraging State Award (Egypt) in the Field of Engineering Science in 2024. He maintained significant editorial responsibilities as a board member for the Journal of World Science, Medical Data Mining journal, Academic Editor for PLOS One Journal, and reviewer for multiple international journals. Currently, he is an associate professor at Faculty of Computers and Artificial Intelligence, Cairo University. His research interests include wireless sensor networks, cryptography, multimedia, network security, machine, and deep learning. 

 Mohamed Hamed N. Taha received the B.Sc., M.Sc., and Ph.D. degrees from the Faculty of Computers and Artificial Intelligence, Cairo University, in 2006, 2009, and 2013, respectively. He has been an Associate Professor with the Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, since 2016. He is a Reviewer of the IEEE internet of things journal. Deep learning, machine learning, the Internet of Things, wireless sensor networks, and blockchain are his research interests.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2026
Langue
anglais
ISBN 10 
3032072662
ISBN 13 
9783032072665
Reliure
Relié
Nombre de pages
479
Éditeur
Khalifa Nour Eldeen M., Taha Mohamed Hamed N.
Coordonnées du fabricant
KINESIS
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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