Artificial Intelligence and Brain-Computer Interfaces in Healthcare

Author:   Chandra P. Sharma, PhD (Former Senior Scientist G & Head, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum ,Kerala , India) ,  Vinoy Thomas, PhD (Assistant Professor, Department of Materials Science and Engineering, University of Alabama, Birmingham, USA) ,  Arie Nakhmani, PhD (Associate Professor, The University of Alabama, Birmingham, USA) ,  Rachel June Smith, PhD (Asst. Professor, University of Alabama, Birmingham, USA)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780443264665


Pages:   422
Publication Date:   01 March 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Artificial Intelligence and Brain-Computer Interfaces in Healthcare


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Author:   Chandra P. Sharma, PhD (Former Senior Scientist G & Head, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum ,Kerala , India) ,  Vinoy Thomas, PhD (Assistant Professor, Department of Materials Science and Engineering, University of Alabama, Birmingham, USA) ,  Arie Nakhmani, PhD (Associate Professor, The University of Alabama, Birmingham, USA) ,  Rachel June Smith, PhD (Asst. Professor, University of Alabama, Birmingham, USA)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443264665


ISBN 10:   044326466
Pages:   422
Publication Date:   01 March 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Section 1: Fundamentals 1. Introduction 2. Brain-Computer Interfaces (BCI) 3. Signal Acquisition, Signal Processing, and Modeling 4. Artificial Intelligence in BCI 5. Big Data and BCI 6. Engineering materials in BCI 7. Noninvasive Sensors in BCI 8. Non-Invasive Therapies in BCI 9. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI Section 2: Applications 10. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders 11. Tricking the Brain for Non-Invasive Therapies: Smart Mazes 12. Early Diagnostics in Neurodiversity Using AI 13. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging 14. BCI, Neuromodulation, and Neurorehabilitation Techniques 15. Fibromyalgia: Understanding the Brain Circuitry Using AI 16. Internet of Things and BCI Related Point of Care Device Applications 17. The Study of Stimulation-Evoked potentials in BCI 18. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions 19. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions Section 3: Regulatory Issues 20. Pain Management using AI 21. Future Challenges and Perspectives

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Author Information

Dr. Chandra P. Sharma is an Adjunct Professor, Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal University, and Hon. Emeritus Professor, College of Biomedical Engineering & Applied Sciences, Purbanchal University, Kathmandu, Nepal. Dr. Sharma is a Solid-State Physicist from IIT Delhi and received his training in Biomaterials area in the University of Utah with Prof. D.J. Lyman as a graduate student and in the University of Liverpool, England with Prof. D.F. Williams as a Post-Doctoral Research Associate. Dr. Sharma has been awarded FBSE (Fellow Biomaterials Science & Engineering) by The International Union of Societies for Biomaterials Science & Engineering (IUS-BSE) in 2008 and FBAO (Fellow Biomaterials and Artificial Organs) by Society for Biomaterials & Artificial Organs (India) (SBAOI) in 2011 and shares Whitaker and National Science Foundation Award – International Society for Artificial Organs (ISAO) USA, invited member ACS (2015-2018). Dr. Vinoy Thomas is an Associate Professor and Graduate Program Director in the Department of Mechanical and Materials Engineering at the University of Alabama at Birmingham. He also holds secondary appointments at the Department of Biomedical Engineering, Department of Physics and Department of Environmental Science & Health. Dr. Thomas is also an Associate Scientist at the Center for Nanoscale Materials and Biointegration (CNMB) and Center for Clinical and Translational Sciences (CCTS). After his PhD in Biomaterials & Technology, he completed postdoctoral training at Friedrich-Schiller University (FSU), Jena, Germany, and at the National Institute of Standards & Technology (NIST), Gaithersburg, USA. His research focuses on biomaterials processing-property relationships, nanomaterials for tissue engineering and drug delivery . He has published over 120 scientific research and review articles (h- index: 36), co-edited two books (Tissue Engineering, Elsevier 2022 and Artificial Intelligence in Tissue and Organ Regeneration, Elsevier 2023). He serves as Associate Editor of Heliyon (Engineering). Dr. Thomas received Fellow Awards such as FBAO -from Society for Biomaterials and Artificial Organs India, FAAS- from Alabama Academy of Sciences, and IAAM Scientist Medal from International Association of Advanced Materials, Sweden. Dr. Thomas is currently serving as the President of Alabama Academy of Science (AAS), Chairman of SBAOI- North American Chapter, and Secretary of Biomaterials Committee of The Minerals, Metals, and Materials Society (TMS). Arie Nakhmani joined the University of Alabama at Birmingham Department of Electrical and Computer Engineering in 2013. Prior to that, he completed his postdoctoral training at Georgia Tech and Boston University. Presently, he is an Associate Professor, Co-Director of the Center for Integrated Systems, and Director of ANRY lab at the UAB. He is the author of over 150 peer-reviewed research publications and book chapters on robust control, machine learning, and signal and image analysis. Rachel June Smith joined the Department of Electrical and Computer Engineering and the Neuroengineering Program as an assistant professor in August 2022. She completed her Ph.D. with Dr. Beth Lopour at UC Irvine in 2019. Her doctoral work focused on the development of computational metrics in scalp EEG data that reflected disease burden and predicted response to treatment in patients with infantile spasms (IS), a potentially devastating epileptic encephalopathy. Rachel completed her postdoctoral training at Johns Hopkins University with Dr. Sridevi Sarma, where she used dynamical systems and control theory techniques to localize the onset of seizures in the epileptic brain from intracranial EEG recordings during single-pulse electrical stimulation. As an assistant professor at UAB, Rachel will continue to collaborate with expert neurologists and use her computational skills to develop novel measures of therapeutic response in patients with neurodegenerative disorders.

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