Human-Centred AI for Intelligent Healthcare

Approaches and Technologies
Erscheinungsjahr 2026
ISBN: 978-0-443-33999-8
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm

Human-Centred AI For Intelligent Healthcare: Approaches and Technologies provides state-of-the-art AI technologies and healthcare tailored to human needs, highlighting the various ways AI is reshaping patient care, diagnostics, treatment modalities, and overall healthcare systems. From the intricacies of precision medicine to interventions in mental health, this reference provides a diverse array of AI applications. It addresses ethical considerations while emphasizing the transformative potential that AI holds for the healthcare industry. This reference is an essential companion for healthcare professionals, researchers, policymakers, technologists, and enthusiasts navigating the swiftly evolving landscape of AI in healthcare. Bridging a critical gap in literature, it offers a consolidated resource that not only explores the multifaceted applications of AI in healthcare but also underscores the importance of maintaining a human-centric approach in the integration of these technologies. With a focus on forecasting future trends and implications, this reference equips readers with the knowledge to stay at the forefront of the dynamic field of healthcare technology and empowers them to anticipate changes and adapt their strategies proactively in the face of evolving healthcare landscapes.

Autoren/Hrsg.

Hassaballah, Mahmoud

Naveen, Palanichamy

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

1. Introduction
2. Speech Recognition In Healthcare
3. Eye Movements And Gaze Analysis
4. Action Recognition For Healthcare
5. Human Movement Assessment
6. Facial Recognition In Healthcare
7. AI In Diagnostics And Imaging
8. AI-Driven Remote Monitoring
9. Precision Medicine And AI
10. AI-Enabled Drug Discovery And Development
11. AI For Mental Health And Well-Being
12. AI Ethics And Future Directions

Über Autor(innen)

Hassaballah, Mahmoud
M. Hassaballa received his B.Sc. degree in mathematics in 1997 and his M.Sc. degree in computer science in 2003, both from South Valley University, Egypt, and his Doctor of Engineering (D. Eng.) in computer science from Ehime University, Japan in 2011. He is currently an associate professor of computer science at the Faculty of Computers and Information, South Valley University, Egypt. He served as a reviewer for several Journals. He has published 5 books and over 50 research papers in refereed international journals and conferences. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding.

Naveen, Palanichamy
Naveen P. completed his Ph.D. in the field of Image Processing from Kalasalingam Academy of Research and Education. He has more than 10 years of teaching experience. Prior to joining KPR Institute of Engineering and Technology, he was associated as NIRF Co-ordinator at Sri Eshwar College of Engineering and also served as Assistant Director - Accreditation and Ranking at Kalasalingam Academy of Research and Education. His research interests include Image Processing and Machine Learning. He received the best faculty award from Kalasalingam Academy of Research and Education in the year 2019. He has published dozen of papers in International Journals and several patents. He is presently an Associate Editor in the Journal of Intelligent and Fuzzy Systems and AD ALTA-Journal of Interdisciplinary Research. He currently serves as an Editorial Board member for the International Journal of Interactive Multimedia and Artificial Intelligence and the Journal of Current Science and Technology.