1st Edition
Modern Technologies in Healthcare AI, Computer Vision, Robotics
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, and 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
Biography
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.
