Digital Health Projects
- Stroke DetectionProf. Eiten Uriel and Dr. Ran Brauner
Using dedicated sensors and artificial intelligence based models, a stroke can be diagnosed early and accurately. This capability is critical to prevent long-term morbidity and handicap.
- Tumor SegmentationDr. Daniel Saidian
Artificial intelligence-based software that learns to detect and mark cancerous growths in the bladder and thereby acts as an aid to the surgeon when it performs a cystoscopy (tumor removal procedure). The system helps the doctor perform the resection of the tumor in the best possible way so that the chances of its recurrence are reduced.