The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Hybrid AI Model for Brain Age Estimation in Forensics Combining Structural and Functional Imaging
|
|
Author(s): S. Kiruthika (Bharath Institute of Higher Education and Research, Chennai, India)and S. Silvia Priscila (Bharath Institute of Higher Education and Research, Chennai, India)
Copyright: 2026
Pages: 24
Source title:
AI in Health and Human-Centric Systems
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Muthmainnah (Universitas Al Asyariah Mandar, Indonesia), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)and Michael Baron (Analytics Institute of Australia, Australia)
DOI: 10.4018/979-8-3373-6796-5.ch007
Purchase
|
Abstract
Brain age is used in forensic investigations to assess age-related traits, neurodegenerative diseases, and injuries. Separate systems that use structural neuroimaging (MRI) or functional imaging (fMRI) have low accuracy and reliability due to the lack of consideration that structure and function are biologically linked in the brain. Structural techniques, such as convolutional neural networks (CNNs), do not consider how physical changes, such as atrophy, influence functional patterns. These also do not consider how physical changes influence function patterns. Functional approaches based on recurrent neural networks (RNNs) can identify temporal activity but not structural changes. It shows a mixed AI model that combines an RNN with long short-term memory (LSTM) for functional fMRI analysis and CNNs for structural MRI analysis to get around these problems. These fusions improve the understanding of the brain aging mechanism by merging temporal and geographical data. Comprehensive preprocessing, hyperparameter adjustment, and cross-validation are required for model durability.
Related Content
|
G. Surekha, Edwin Shalom Soji.
© 2026.
20 pages.
|
|
P. Vidhya, S. Silvia Priscila.
© 2026.
28 pages.
|
|
G. Surekha, Edwin Shalom Soji.
© 2026.
20 pages.
|
|
P. Kiruthiga, S. Silvia Priscila.
© 2026.
28 pages.
|
|
C. Ashwini, S.T.V.T. Anantha Krishnama Charyulu, N. Avinash Chowdary, S.T.V. Sathvik, A. Thenmozhi, Sureshkumar Somayajula, Muhammad Saleem.
© 2026.
26 pages.
|
|
Divya Divya, Kamlesh Kumar Yadav.
© 2026.
20 pages.
|
|
S. Kiruthika, S. Silvia Priscila.
© 2026.
24 pages.
|
|
|