Initial Clinical Experience With a Simple, Home System for Early Detection and Monitoring of Diabetic Foot Ulcers: The Foot Selfie.

Mark A SwerdlowLaura ShinKaren D'HuyvetterWendy J MackDavid G Armstrong

Published in: Journal of diabetes science and technology (2021)

With minimal training, patients transmitted diagnostic-quality images from home on most days, allowing clinicians to review serial images. This system permits inexpensive home foot screening and monitoring of DFUs. Further studies are needed to determine whether it can reduce morbidity of DFUs and/or the associated cost of care. Artificial intelligence integration could improve scalability.

Keyphrases

artificial intelligence
deep learning
healthcare
end stage renal disease
machine learning
palliative care
convolutional neural network
big data
newly diagnosed
ejection fraction
chronic kidney disease
quality improvement
optical coherence tomography
prognostic factors
pain management
chronic pain
patient reported