A medical informatics team at Jena University Hospital has introduced a privacy-compliant method for the AI-driven generation of realistic eye images. While the synthetic images remain suitable for diagnostic analysis, it is no longer possible to identify the individuals depicted in the original training data.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Augmented eye clinic shows why AI-native systems work where standalone algorithms don't | 0 | 9.01 | 16-09-2026 |
| 2 | AI estimates retinal age, revealing sex-specific aging patterns and links to disease risk | 0 | 7.93 | 16-09-2026 |
| 3 | Deep learning refines how bionic eyes communicate with the brain | 0 | 8.68 | 07-08-2026 |
| 4 | New tool detects hidden bias in medical AI | 0 | 7.66 | 22-07-2026 |
| 5 | В РФ разработали ИИ-систему для автоматического сокрытия нежелательного контента | 0 | 0 | 13-05-2025 |
| 6 | Глаза в глаза. В Москве запустили уникальный ИИ-сервис в неврологии | 7 | 8 | 09-07-2026 |
| 7 | Video of tiny vessels in the eye assessed by AI may replace needle sticks for anemia screening | 5 | 8 | 25-06-2026 |
| 8 | Machine Learning Models for Predicting Long-Term Visual Acuity in Highly Myopic Eyes | 0 | 9.79 | 01-12-2023 |
| 9 | New tool identifies the sources of fake videos | 0 | 7.43 | 27-07-2026 |
| 10 | Safe AI For Patients: Building Accountability in Digital Healthcare | 0 | 8.48 | 01-06-2026 |