Current medical imaging technologies extensively used in cancer detection and monitoring patient’s response to treatment, however, manual analysis of these images caused up to 20% error rate. A.I. VALI offers accurate, reproducible and cost-effective analysis of endoscopy medical images using AI platform. The colonoscopy module based on ML/DL algorithms can identify presence of gastrointestinal (GI) disease and predict quantity of a therapeutic response, in another word, enables cancer detection and identification of personalized therapeutic model for each patient. Early detection of cancer is now possible through real-time analysis of endoscopy images. Therefore, physicians can predict the development of GI disease before manifestations of symptoms. Working on pilot study to validate the current AI platform. Our goal is to offer AI platform through secure and regulatory compliant cloud-based system to healthcare systems, pharma/biotech and academia.
Primary Contact: azar@aivali.org