A new non-invasive system developed by researchers allows for the estimation of red blood cell levels through short videos of the eye, achieving over 80% accuracy in identifying anemia. Published in the journal npj Digital Medicine, the technology utilizes a microscope camera to record the whites of the eye, which are then analyzed by an AI model named VesselNet. This innovation could serve as a valuable screening tool, particularly in resource-limited settings where traditional blood tests are less accessible. However, experts caution that it is not yet ready to replace standard blood draws. The method currently measures only hemoglobin and red blood cell counts, while standard tests provide more comprehensive data. Researchers plan to conduct further studies to validate the findings and explore the potential for counting white blood cells with improved camera technology. The study highlights the promise of making blood monitoring more accessible, especially for outpatient settings and home monitoring.