Early diagnosis of diabetic retinopathy (DR) is vital to preserving the eye sight of a diabetes patient; however, less than half of the diabetes patients in the United States are screened due to cost or limited access to medical specialists. Oak Ridge National Laboratory, Oak Ridge, Tenn. and The Hamilton Eye Institute, Univ. of Tennessee Health Science Center, Memphis, developed a new diagnostic tool, the Telemedical Retinal Image Analysis and Diagnosis (TRIAD) system that enables effective, low-cost DR screening of patients from the office of their primary care physician.
The TRIAD system uses an image analysis and diagnostics software engine to automatically detect anatomic and disease-based structures in the patient’s eye by comparing it to an archive of digital eye images from previously-diagnosed DR patients.
The TRIAD system uses an image analysis and diagnostics software engine to automatically detect anatomic and disease-based structures in the patient’s eye by comparing it to an archive of digital eye images from previously-diagnosed DR patients.
