Researchers at Tel Aviv University and Sheba Medical Center developed an AI system that analyzes a short video of retinal blood vessels to detect anemia in 10 seconds without a blood sample, according to a report by Jewish Breaking News. The technology is still in early stages but could make basic blood screening faster and more accessible, especially where medical infrastructure is limited.
Researchers at Tel Aviv University and Sheba Medical Center have developed an AI-driven system that detects anemia by analyzing a short video of the tiny blood vessels in the eye, a report by Jewish Breaking News said Thursday. According to the report, the scan takes approximately 10 seconds and does not require drawing blood.
The study is still in early stages, but its results point to a future where basic blood screening could be performed faster, cheaper, and far more accessibly, especially in regions with limited medical infrastructure. The system works by capturing a video of the retinal microvasculature and using machine learning to identify patterns associated with anemia.
No peer-reviewed publication or regulatory approval was cited in the report. The Zioneer has not independently verified the findings. The development follows a broader trend of Israeli innovation in AI-driven medical diagnostics, including Aidoc's recent FDA breakthrough device designation for a chest X-ray analysis system.
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