Applied Morphomics, Inc. (AMI) has created EndoscopIQ software to provide expert trained AI-assisted colonoscopy interpretation for disease assessment and therapeutic development. Trained to reproduce gastroenterologist expertise, EndoscopIQ uses deep learning algorithms to independently and discretely grade disease severity, delivering the fastest and most reliable Mayo endoscopic scoring solution available for pharma and research organizations today. EndoscopIQ is grounded in reliable results and returns rich data to broaden understanding.

Advances in medical care begin with clinical research, and AMI exists to ensure evidence-based technologies progress on the path for real-world application and impact. Working alongside the brightest and highly-engaged physician-scientists, AMI is tackling chronic disease with solutions designed to support a thriving healthcare ecosystem.

Read the JAMA published results, and tell us how can we help, now.


Stidham RW, Liu W, Bishu S, et al. Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis. JAMA Network Open. 2019;2(5):e193963. doi:10.1001/jamanetworkopen.2019.3963