The study cohort included 7,313 patients with reports of chest pain. Patients were between 43-75 years of age, 47% of whom were female, and 5.2% were eventually found to be OMI positive.

Face2Gene’s system uses a machine-learning algorithm, meaning it learns from every new face it scans. The more data it acquires through its use, scientists hope, the more accurate the diagnoses.