The Clinical Significance of Imaging Biomarkers Discoverable by Anomaly Detection Methods in Retinal Diseases: A Review
Anna M Wittmann, Philipp Seeböck, Katharina A Heger, Daniel Egger, Georg Langs, Sebastian M Waldstein, Shweta Negi · 2026
Read The Clinical Significance of Imaging Biomarkers Discoverable by Anomaly Detection Methods in Retinal Diseases: A Review by Anna M Wittmann, Philipp Seeböck, Katharina A Heger, Daniel Egger, Georg Langs, Sebastian M Waldstein, Shweta Negi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13140303.txt.
Description
Anna Wittmann and co-authors review what anomaly detection methods can reveal about imaging biomarkers in retinal disease, published in 2026. Vision-threatening eye diseases are rising worldwide, straining health systems. Unsupervised AI that flags anomalies could find both known and new markers in retinal images, without relying on expert labels or fixed disease categories.
The review sorts biomarkers by the disease process behind them and sums up the anomaly detection methods tried in the field. It highlights markers these methods have actually surfaced. Current methods favor established markers with strong contrast and sharp borders, while subtle changes stay hard to catch. Integrated into clinic flow, such tools could support screening, follow disease over time, and judge treatment response more objectively, the authors argue.
Catalog record
| CREATOR | Anna M Wittmann, Philipp Seeböck, Katharina A Heger, Daniel Egger, Georg Langs, Sebastian M Waldstein, Shweta Negi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |