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Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?

Victoria Blanes-VidalTomas MajtnerLuis David Avendaño-ValenciaKnud B YderstraedeEsmaeil S Nadimi
Published in: Journal of diabetes research (2019)
Our study and its results (i.e., larger variations of facial redness with the heartbeats in diabetic patients) are unprecedented. One limitation is the sample size. Confirmation in a larger study would ground the development of a noninvasive cost-effective automatic tool for early detection of diabetic complications, based on measuring invisible redness variations, by image processing of facial videos captured at home with the patient's smartphone.
Keyphrases
  • type diabetes
  • deep learning
  • risk factors
  • machine learning
  • soft tissue
  • case report