A Deep Learning Application to Detect and Diagnose Metabolic Encephalopathy
Brain health plays a major role in human life to recognize their complete prospective over the life course stating the brain functionality which includes sensory, behavioral, cognitive, social-emotional and motor domains regardless of the existence or nonexistence of disorders. If there exists a brain dysfunction due to chemical imbalances in the blood, it is named as Metabolic Encephalopathy. This chemical imbalances occur due to the systematic illness such as diabetes, kidney or liver disease which may disturb mental states and if not treated in right time may lead to permanent brain damage. The role of artificial intelligence in medical field is showing its significant growth in recent years. This document showcases deep learning techniques in the diagnosis of metabolic encephalopathy.
Authors
- Niranjan Nagarajan (ORCID: https://orcid.org/0000-0003-0850-5604)
- C. Ganesh Babu
- R. Anjali
Institutions
- Anna University Regional Campus, Coimbatore
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/stcr62650.2025.11020540
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00