RadiCLE Collaborative Improves Radiology with AI

The Radiology AI & Diagnostic Innovation Collaborative at UH, known as RadiCLE, is bringing artificial intelligence to radiology education and clinical practices. RadiCLE is uniting partners and industry experts with data, while also offering a site for clinical studies.

A project with French company AZmed resulted in FDA-approval of the groundbreaking Rayvolve fracture diagnosis software, which increases x-ray reading accuracy by 7 percent and speeds turnaround time by 27 percent.

“The industry has quickly understood that quality data and, more importantly, quality people are the foundation for the success of any AI-driven healthcare solution,” said Leonardo Kayat Bittencourt, MD, PhD, Vice-Chair of Innovation and Director, MRI Research Center of Excellence, University Hospitals.

RadiCLE is working on a number of new projects, including: AI algorithms for stroke detection; using MRIs for prostate cancer detection; screening cardiovascular risk from routine x-rays; and identifying lung nodules as potential precursors to lung cancer.