Automated Visual Evaluation (AVE)
AVE is an innovative artificial intelligence tool developed that consists of a machine learning (ML) classifier and a decision-making algorithm, which identifies cervical pre-cancer from a colposcopic image. AVE “learns” to identify patterns of high-grade pre-cancer from cervical images to differentiate CIN lesions from normal tissue. Retrospective preliminary data shows that AVE may have higher detection of CIN2+ than either cervicography or conventional cytology screening, and similar performance to HPV testing or colposcopy for detection of CIN2+.
HRME: High-Resolution Micro Endoscopy
The HRME imaging system is intended to be a low-cost, innovative technique that allows real-time, point-of-care detection of high-grade precancerous cervical lesions without a biopsy being performed. As part of Rice University and MD Anderson led study, BHI enrolled more than 1800 women in this project.
Instead of using cryogenic gas like conventional cryotherapy, the Cryopen® (CryoPen Inc., Southlake, TX) utilizes electricity or power from a car battery to freeze cervical precancer lesions.