The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Enhanced Neurophysiological Assessment
|
|
Author(s): Deepak Kumar (Shri Gopichand College of Pharmacy, India), Punet Kumar (Shri Gopichand College of Pharmacy, India), Sushma Pal (Shri Gopichand College of Pharmacy, India)and Sangam Singh (Oxford College of Pharmacy, India)
Copyright: 2025
Pages: 32
Source title:
Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning
Source Author(s)/Editor(s): Rohit Bansal (Stanford Institute of Management and Technology, Australia), Tariq Maqableh (Charles Sturt University, Australia), Gunjan Shuklaa (SICA College, Indore, India), Fazla Rabby (Stanford Institute of Management and Technology, Australia)and Remya Lathabhavan (Indian Institute of Management, Bodh Gaya, India)
DOI: 10.4018/979-8-3693-9341-3.ch002
Purchase
|
Abstract
Advancements in artificial intelligence (AI) are revolutionizing neurophysiology, enhancing precision and efficiency in assessing brain and nervous system function. AI-driven neurophysiological assessment integrates machine learning, deep neural networks, and advanced data analytics to process complex data from electroencephalography, and electromyography techniques. This technology enables earlier diagnosis of neurological disorders like epilepsy and Alzheimer's by detecting subtle neural patterns that may be missed by human analysis. AI also facilitates real-time monitoring and predictive analytics, improving outcomes in critical care and neurorehabilitation. Challenges include ensuring data quality, addressing ethical concerns, and overcoming computational limits. The integration of AI into neurophysiology offers a precise, scalable, and accessible approach to treating neurological disorders. This chapter discusses the methodologies, applications, and future directions of AI in neurophysiological assessment, emphasizing its transformative impact in clinical and research fields.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|