Artificial Intelligence and Digital Biomarkers for Early Detection and Monitoring of Neurological Disorders: A Narrative Review
Arshad Husain Rahmani, Tarique Sarwar · 2026
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Description
Arshad Husain Rahmani and Tarique Sarwar review how artificial intelligence and digital markers could catch brain diseases earlier, in this 2026 paper. Conditions such as Alzheimer's and Parkinson's diseases damage the brain for years before symptoms show. Standard checks often miss that early window and cost a great deal.
Digital markers come from eye tracking, speech, facial movement, walking patterns, and wearable sensors. AI models read those signals for early signs without invasive tests. The review covers uses by disease, the methods behind them, and the hurdles to clinic use. Most strong results so far come from past data sets, the authors warn. Real-world trials in new patients remain scarce.
Catalog record
| CREATOR | Arshad Husain Rahmani, Tarique Sarwar |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |