Specialties

Software provides screening decision without need for a clinician to interpret image or results.

By A. Paul Chous, MA, OD, FAAO, CDE

The FDA just gave first approval to an artificial intelligence (AI) algorithm for the detection of diabetic retinopathy in the offices of non-ophthalmic health care practitioners. Dubbed the IDx-DR (IDx, LLC, Coralville, Iowa), and paired with a Topcon NW400 non-mydriatic retinal camera, captured images are sent to a cloud-based server that utilizes the IDx-DR software and a ‘deep learning’ algorithm to detect retinal findings consistent with diabetic retinopathy based on autonomous comparison with a large dataset of representative fundus images.

In this week's Homerun Slides, understanding blood pressure classification.

Method to identify prediabetes found to impact risk of heart disease or death.

New research shows how estrogen treatment helps to control blood sugar levels after menopause.

Risk for stroke significantly increased, but exceeded by heart failure

In this week's Homerun Slides, defining albuminuria, a marker for kidney dysfunction.

Individuals with undiagnosed diabetes, prediabetes found to have high incidence of unrecognized chronic kidney disease.

Studies find greater risk reduction following treatment of patients with dyslipidemia.

Secondary analysis evaluates effect of Women’s Health Initiative dietary intervention.