The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Powered Thermal Imaging for Early Detection of Down Syndrome in Children
|
|
Author(s): P. Vidhya (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: 28
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.ch002
Purchase
|
Abstract
The early detection of Down syndrome in pregnant women is crucial for the appropriate care of the affected child, as it is a lifelong condition. Karyotyping and physical examinations are the foundation of traditional diagnostic techniques, which are intrusive, time-consuming, and inappropriate for mass screening. Furthermore, the existing automated systems' poor precision, specificity, and resilience result in incorrect positives and false negatives. The study describes a system that supports or enhances these techniques for monitoring individuals with Down syndrome by using deep learning (DL) algorithms to classify thermal images and recognize even the smallest temperature changes on the skin. For feature extraction and classification with high precision and recall, the model uses Convolutional Neural Networks (CNNs). According to a comparative performance review, the proposed system performs noticeably better than several other approaches, with an accuracy of 96.3%, precision of 95.8%, recall of 96.7%, and an AUC of 0.98.
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.
|
|
|