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.

• 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.

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.

• 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.

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.

• 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.