AI and Oculomics for Systemic Disease Detection
UCH and CU are partnering on the Oculomics research study over the next five years. The primary goals of this study are to identify ocular risk factors (biomarkers) associated with preventable blindness and to detect changes in the retina that may serve as new biomarkers. The study will also use artificial intelligence as a diagnostic tool to help identify signs of systemic diseases such as hypertension, diabetes, Parkinson, and Alzheimer diseases. We are recruiting any willing participant from Internal Medicine, Ophthalmology, Endocrinology, Neurology, and Cardiology. Also, any participant registered with UCH or CU EMR that has been seen in any of the mentioned medical specialties.
Why this Research Matters
The picture of the participants' retinas will be undilatated will take about 4-8 minutes winth the consenting process and the pictures.
Who can Participate
Participants need to be 18 years old and older, have a current email address, be registered in UCH or CU EMR on Cradiology, Neurology, Internal Medicine, Endocrinology, and Ophthalmology.
Study ID
Protocol Number: 24-2014
Meet the Team
Jayashree Kalpathy-Cramer, PhD
Principal Investigator