Prospective Pilot Shows AI to Have Higher Accuracy in Detecting Cervical Cancer Than Lab Tests

MobileODT’s CDS Algorithm Shows Impressive Results in First Real-Time Application of AVE for Cervical Cancer Screening

The first prospective pilot into artificial intelligence for point-of-care visual cervical cancer detection found it to be more effective than current laboratory-based methods.

Automated visual evaluation is the next step in the journey to leverage the power of AI in the fight against cervical cancer. With early detection, cervical cancer is preventable. But regular screening has remained inaccessible for millions of women around the world. The advent of the AVE (automated visual evaluation) algorithm promised to bring accurate, cost-effective screening to underserved populations.