Brain-Inspired Artificial Intelligence and Neuromorphic Computing in Revolutionizing Medical Technologies with Neural Architectures

1. Auflage 2026
ISBN: 978-1-394-39544-6
Verlag: John Wiley & Sons Inc

Buch, Englisch, 624 Seiten

Reihe: Machine Learning in Biomedical Science and Healthcare Informatics

Discover how brain-inspired, neuromorphic AI is shattering the limits of classical computing to revolutionize medicine by delivering the real-time, adaptive intelligence needed to transform everything from robotic surgeries and precision diagnostics to the future of patient care.

Current AI technologies often rely on classical computational models, which may struggle to replicate the complex, adaptive learning of the brain. Neuromorphic computing overcomes these limitations, processing medical data faster and more intelligently, which is particularly valuable in high-stakes environments like healthcare. Brain-inspired algorithms can significantly improve disease diagnosis, predictive analytics, robotic surgeries, patient monitoring, and neuroprosthetics by adapting in real time, like the human brain itself. This book focuses on the integration of neuromorphic computing into healthcare. Neuromorphic computing, which uses brain-like algorithms and architectures, has the potential to revolutionize healthcare by enhancing real-time diagnostics, improving patient outcomes, enabling personalized medicine, and transforming healthcare systems into more adaptive and efficient entities. The book explores the potential applications of neuromorphic computing in healthcare, examining topics like brain-computer interfaces, AI-enhanced diagnostics, decision support systems, personalized medicine, biomedical engineering, and the ethical issues that arise with the deployment of AI in medicine. This comprehensive exploration provides a detailed understanding of how brain-inspired AI and neuromorphic technologies are set to transform healthcare. It serves as a guide for researchers, healthcare professionals, and policymakers with a focus on technical advancements, practical implementations, and future trends in neuromorphic computing applied to the healthcare field.

Readers will find the volume: - Introduces the fundamental principles of neuromorphic computing and its contrast with traditional AI;
- Explores real-world applications in disease diagnosis, robotic surgeries, clinical decision-making, and personalized healthcare;
- Discusses technical challenges like data scalability, hardware efficiency, and integrating systems into existing healthcare workflows;
- Addresses ethical and legal considerations in deploying neuromorphic AI in healthcare, including patient data privacy and fairness in decision-making;
- Looks to the future of healthcare innovation, driven by neuromorphic computing, with applications in neuroprosthetics and health monitoring systems.

Audience

Academics, researchers, healthcare professionals, and policymakers across artificial intelligence, biomedical engineering, computational neuroscience, and healthcare informatics, seeking insights into brain-inspired AI and neuromorphic systems.

Autoren/Hrsg.

Chatterjee, Jyotir Moy

Inhaltsverzeichnis

Preface xxiii
Acknowledgement xxvii

Part I: Foundations and Emerging Paradigms in Neuromorphic Healthcare 1

1 Neuromorphic Computing and Multidisciplinary Healthcare Teams 3
Archana Chhabra, Harpreet Kaur and Deepika Ghai

2 Neuromorphic AI in Medical Diagnostics 31
S. Mohanraj and R. Sujatha

3 Addressing Scalability and Reliability in Neuromorphic Healthcare 59
Manas Kumar Yogi, K. V. V. Subba Rao, Shanmukha Mahathi Chinta and S. Soha Tabassum

4 A Comprehensive Review of Brain-Computer Interfaces: Current Research Trends in Person-Centric Healthcare and Ambient Assisted Living 81
P. Nagaraj, Josephine Selle Jeyanathan, A. Lakshmi, V. Muneeswaran and K. Muthamil Sudar

5 Neuromorphic Systems for BCI and Neuroprosthetics 105
T.S. Suganya and Midhun Ramesh

6 Neuromorphic Computing for Wearable Health Devices 131
Wasswa Shafik

7 Neuro-Inspired Advances in Imaging and Diagnostics 159
Ajay Sharma and Arun Malik

8 Harnessing Brain-Inspired AI for Healthcare's Digital Future 199
Bittoo Kumar Sharma

Part II: Ethical, Behavioral, and Application- Specific Innovations 245

9 Ethical and Legal Challenges in Using Neuromorphic AI for Diagnosing and Treating Childhood Trauma 247
Navonita Mallick, Shashwata Sahu and Hiranmaya Nanda

10 Neuromorphic Computing in Sports: New Age Technology in Transforming Athlete Performance and Rehabilitation 271
Amitava Pal, Rajkumar M. and Kavita Mathad

11 An Intelligent System for Early Mental Health Detection: Integrating Wearables, Social Media, and Neuromorphic 295
Richa Mathur and Rakesh Roshan

12 Neuromorphic AI-Driven Personalization and Predictive Analytics in Digital Health: A Marketing Perspective on Patient Engagement Metrics and Outcomes 317
Rahul Chauhan and Bhoomi Chauhan

13 Building Neuromorphic Systems for Medicine 337
Devanshi Srivastava and Adarsh Kumar Arya

14 Intelligent Neuromorphic Frameworks for Neural Interfaces and Prosthetic Control 365
Aditya Dayal Tyagi, Himani Tyagi, Setu Garg and Vivek Tomar

Part III: Advanced Models, Diagnostics, and Future Outlook 397

15 Neuromorphic Innovations in Medical Diagnosis and Imaging 399
Himani Tyagi, Aditya Dayal Tyagi, Kimmi Verma and Ravi Prakash Chaturvedi

16 AI in Personalized Medicine Using Neuromorphic Systems 429
Abhishek Choubey and Shruti Bhargava Choubey

17 An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections 465
Sirisha Potluri, Shalini Ramanathan, Vikas B., Puranam Revanth Kumar, K. Manasa Mrunaalini and K. Dheeptha

18 Advanced Ensemble-Based Machine Learning Framework for Brain-Inspired AI and Neuromorphic Computing 477
Pinakshi Panda, Sukant Kishoro Bisoy and Soumya Sahoo

19 DeepSpiker-DiaNet: A Neuromorphic Framework for Interpretable and Energy-Efficient Disease Prediction 497
Diviya Prabha V. and Rathipriya R.

20 Neuromorphic Innovations in Medical Imaging and Diagnostics: Bridging Biological Intelligence and Computational Advances 513
Kolla Bhanu Prakash and V. Pradeep Kumar

21 The Future of Neuromorphic Computing in Health Care 539
Ajay Sharma and Arun Malik

References 566
Index 575

Über Autor(innen)

Jyotir Moy Chatterjee is an Assistant Professor in the Department of Computer Science and Engineering, Graphic Era University, Dehradun, India, and an Assistant Professor in the Department of Information Technology at the Lord Buddha Education Foundation, affiliated with the Asia Pacific University of Technology and Innovation, Malaysia. He has more than 100 publications to his credit, including book chapters and articles in international journals and conferences. He has edited multiple volumes. His research interests focus on machine learning and deep learning.