Modern Technologies in Healthcare

AI, Computer Vision, Robotics
Herausgeber: Komolafe, Temitope Emmanuel; Komolafe, Blessing Funmi; Monkam, Patrice

• Gebundenes Buch

Produktbeschreibung

This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies such as artificial intelligence (AI), robotics, and computer vision. An essential guide for healthcare professionals, researchers and scholars.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 348
• Erscheinungstermin: 5. Mai 2025
• Englisch
• Abmessung: 240mm x 161mm x 23mm
• Gewicht: 687g
• ISBN-13: 9781032772332
• ISBN-10: 1032772336
• Artikelnr.: 72109136

Autorenporträt

Temitope Emmanuel Komolafe is an Assistant Professor at the Collaborative Research Centre, Shanghai University of Medicine and Health Sciences. His research focuses on intelligent medicine, medical imaging processing, and precision rehabilitation robotics. He has published many research articles in peer-reviewed international journals. Patrice Monkam is an Assistant Professor at Northeastern University, China. His research interests include image processing and analysis, medical imaging, and deep learning and its applications. He has authored over 20 research articles in leading peer-reviewed journals and at top-tier conferences. Blessing Funmi Komolafe is a Lecturer at the College of International Education, Shanghai University of Medicine and Health Sciences. Her research focuses on pre-service physics teacher training, curriculum, pedagogy, medical education, and AI-based teaching. She has published extensively in international journals. Nizhuan Wang is a Research Assistant Professor at the Hong Kong Polytechnic University, China. His research interests include brain-machine interface, neural computation, neuroimaging, neuroscience, and neurolinguistics. He has authored over 90 research articles in peer-reviewed top-tier journals and at conferences.

Inhaltsangabe

1. A deep learning method for identification of pneumonia from chest
x-rays. 2. Recent development and applications of deep learning in medical
imaging. 3. How to incorporate prior knowledge for effective fMRI data
analysis: A comprehensive review and future direction. 4. AI applications
in diagnostics and treatment. 5. eHealth platforms facilitate breast
cancer: A systematic review. 6. Rehabilitation and assistive robotics for
the elderly and physically challenged. 7. Surgical robots for minimally
invasive surgery. 8. AI-aided tools for teaching and research in medical
research. 9. Decoding neural signals: Invasive BMI review. 10. Real-time
healthcare applications: Exploring the synergy of generative AI and edge
computing/5G. 11. HealthSyncc: An AI-powered mobile application for health
management. 12. Challenges and future trends in implementing AI in
healthcare. 13. The future of AI in healthcare: Opportunities and
challenges.