Michael Abramoff, MD, PhD

Contact Information

Office: 11205  PFP 
Phone: 319-384-5833 
Faculty Profile

Brief description of current research:

Dr. Abramoff and his team focus on automated diagnostics of diabetes complications. Specifically, they study, develop and validate fully automated computer algorithms that diagnose diabetic retinopathy in retinal images, some of these algorithms have been commercialized and are awaiting FDA approval. They also study the quantification of microvasculopathy in diabetes, using fully automated algorithms to measure vascular parameters in the retina, and use these to predict vascular complications including stroke, hypertension and nephroopathy. Recently, they have started using their quantitative methods to study retinal neuropathy and cortical neuropathy in the broader context of cognitive decline in longstanding diabetes, in both humans and mouse models.

3 most influential diabetes/obesity/metabolism publications:

  • Abràmoff MD, Folk JC, Han DP, Walker JD, Williams DF, Russell SR, Massin P, Cochener B, Gain P, Tang L, Lamard M, Moga DC, Quellec G, Niemeijer M.  Automated analysis of retinal images for detection of referable diabetic retinopathy.  JAMA Ophthalmol, 2013; 131(3):351-357. 
  • Van Dijk HW, Verbraak FD, Kok PH, Stehouwer M, Garvin MK, Sonka M, DeVries JH, Schlingemann RO, Abràmoff MD.  Early neurodegeneration in the retina of Type 2 diabetic patients.  Invest Ophthalmol Vis Sci, 2012; 53(6):2715-2719.
  • Abràmoff MD, Niemeijer M, Suttorp-Schulten MS, Viergever MA, Russell SR, van Ginneken B. Evaluation of a system for automated detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes. Diabetes Care 31(2):193-198, 2008.