Next-Gen Healthcare

AI-Powered Medical Innovations

,

Éditeur :

Springer

Paru le : 2026-01-20

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 adversar...
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Éditeur

Collection
n.c

Parution
2026-01-20

Pages
464 pages

EAN papier
9783032072665

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.

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9783032072672
Prix
189,89 €
Nombre pages copiables
4
Nombre pages imprimables
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Taille du fichier
50913 Ko
EAN EPUB
9783032072672
Prix
189,89 €
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
37192 Ko

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