Modern Technologies in Healthcare

Auteur

Temitope Emmanuel Komolafe is an Assistant Professor at the Collaborative Research Centre, Shanghai University of Medicine & Health Sciences. His research focuses on Intelligent Medicine, Medical Imaging Processing, and Precision Rehabilitation Robotics. He has published many research articles peer-reviewed international journals.

Patrice Monkam is an Assistant Professor with Northeastern University, China. His current research interests include image processing and analysis, medical imaging, deep learning, and its applications. He has authored over 20 research articles in leading peer-reviewed journals and top-tier conferences.

Blessing Funmi Komolafe is a Lecturer at the College of International Education, Shanghai University of Medicine & 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 with The Hong Kong Polytechnic University, China. His research interest is on Brain-Machine Interface, Neural Computation, Neuroimaging, Neuroscience, and Neurolinguistics. He has authored over 90 research articles in peer-reviewed top-tier journals and conferences.

Texte du rabat

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.

Contenu

Table of Contents

Series Editor Foreword

Contributor Biographies

1. A Deep Learning Method for Identification of Pneumonia from Chest X-rays
   Debasish Borah, Amita Nandal and Arvind Dhaka

2. Recent Development and Applications of Deep Learning in Medical Imaging
   Olarenwaju James Awoniya, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe

3. How to Incorporate Prior Knowledge for Effective fMRI Data Analysis: A Comprehensive Review and Future Direction
   Yuhu Shi, Nizhuan Wang and Weiming Zeng

4. AI Applications in Diagnostics and Treatment
   Yuchi Tian, Temitope Emmanuel Komolafe and Wenxiu Zhang

5. eHealth Platforms Facilitate Breast Cancer: A Systematic Review
   Arpit Kumar Sharma, Arvind Dhaka and Amita Nandal

6. Rehabilitation and Assistive Robotics for the Elderly and Physically Challenged
   Marwa Mohammed

7. Surgical Robots for Minimally Invasive Surgery
   Li Liu and Yizhao Qian

8. AI-Aided Tools for Teaching and Research in Medical Research
   Charles Oretomiloye and Blessing Funmi Komolafe

9. Decoding Neural Signals: Invasive BMI Review
   Rezwan Firuzi, Ayub Bokani, Jahan Hassan, Hamed Ahmadyani, Mohammad Foad Abdi, Dana Naderi and Diako Ebrahimi

10. Real-time Healthcare Applications: Exploring the Synergy of Generative AI
    and Edge Computing/5G
    Mary Adedoyin

11. HealthSyncc: An AI-Powered Mobile Application for Health Management
    Ebenezer Juliet Selwyn, Anmol Tiwari, Gadewar Gayatri Pandurang, Sweta Soundarya Das and Raj Vardhan

12. Challenges and Future Trends in Implementing AI in Healthcare
    Adanze Nge Cynthia

13. The Future of AI in Healthcare: Opportunities and Challenges
    Olapeju A. Sam-Oyerinde, Oluwaremilekun O. Idowu and Oluwagbenga P. Idowu