Artificial Intelligence Strategies for Early Intervention in Neurodegeneration

· · · ·
· Academic Press
Ebook
250
Pages
Eligible
This book will become available on August 1, 2025. You will not be charged until it is released.

About this ebook

Artificial Intelligence Strategies for Early Intervention in Neurodegeneration addresses the challenges surrounding the implementation of AI-based diagnoses of neurological disorders. These challenges include the lack of large, high-quality datasets, the necessity for standardization of data collection and analysis protocols, technical hurdles in developing accurate and reliable AI algorithms, and the requirement for regulatory approval and integration into clinical workflows. The book's content provides guidance to researchers on how to develop and integrate AI algorithms and biomarker analysis into their workflow, leading to a significant change in disease diagnosis.These techniques involve the analysis of physiological signals and images to identify patterns associated with specific diseases, and how AI algorithms can analyze medical imagery and movement and speech patterns to identify early signs of neurodegenerative diseases. - Presents an interdisciplinary perspective from experts in biomedical engineering, artificial intelligence, and neurology - Covers emerging research trends, providing a roadmap for researchers to contribute to this evolving field - Highlights the use of machine learning and artificial intelligence for the automated diagnosis of neurological disorders

About the author

Victor Hugo C. de Albuquerque [M'17, SM'19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.Diksha Giri is a researcher and academician based in Sikkim, India, known for her expertise in the field of Biomedical Signal Processing. She earned her Master's degree in 2017 and subsequently embarked on a promising career in academia. Currently pursuing her Ph.D. research at Sikkim Manipal University, Diksha is deeply immersed in the exploration of computerized non-invasive approaches for the analysis of neurological disorders, with a specific focus on Gait data analysis.Ranjit Panigrahi is an accomplished academician and researcher in the field of Computer Applications, specializing in Biomedical Data Analysis and Cyber Security. He currently holds the position of Assistant Professor in the Department of Computer Applications at Sikkim Manipal Institute of Technology, located in Majitar, Sikkim, India. Dr. Panigrahi's academic journey began with a Master of Technology in Computer Sciences & Engineering from Sikkim Manipal Institute of Technology in 2013. He further pursued his passion for research and earned a PhD degree in Computer Applications from Sikkim Manipal University in March 2020. His doctoral thesis focused on the "Design & Development of a Host-Based Intrusion Detection System with Classification of Alerts," showcasing his expertise in the field of cybersecurity. As an esteemed member of the academic community, Dr. Panigrahi has demonstrated exceptional dedication and commitment to his profession. He has been actively involved in teaching and guiding students as an Assistant Professor in the Department of Computer Applications at Sikkim Manipal Institute of Technology since July 2010. Over the years, he has held different positions and responsibilities within the department and currently serves as the Head of the IT Council at the institute. His research contributions have garnered recognition and praise, evident from the numerous publications he has authored in reputed journals and conferences. Dr. Panigrahi has an impressive track record with many articles published in SCI and Scopus-indexed journals. Additionally, he has also contributed significantly to the academic community through the publication in many conference proceedings. He is a sought-after reviewer for various technical publications and has also chaired sessions at prominent international conferences. Beyond his academic achievements, Dr. Panigrahi is also actively engaged in intellectual property research and has secured five patents.

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