On diabetic foot, wound healing, amputation prevention, and the merger of consumer tech with medical devices
We are seeing and better approaches to assisting us in identifying subtle asymmetries and personalized discontinuities in thermometry. This work from our Qatari colleagues is just such an example. Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major... Continue Reading →
More work supporting the ongoing efforts to create a deep learning/AI model to assist in diagnosis of diabetic foot ulcer/wound healing images J Yogapriya 1, Venkatesan Chandran 2, M G Sumithra 3, B Elakkiya 4, A Shamila Ebenezer 5, C Suresh Gnana Dhas 6 A bacterial or bone infection in the feet causes diabetic foot infection (DFI), which results in reddish skin in the wound and... Continue Reading →
Intriguing work from Xu and coworkers showing a continued march toward improvement in AI Models. As the input improves, output will follow! Abstract Diabetic foot ulcers (DFUs) are one of the most common complications of diabetes. Identifying the presence of infection and ischemia in DFU is important for ulcer examination and treatment planning. Recently, the... Continue Reading →
Just published this past week by our collective Chongqing/Singapore/and local LA squad. Diabetic foot ulcer (DFU) is one of the most serious and alarming diabetic complications, which often leads to high amputation rates in diabetic patients. Machine learning is a part of the field of artificial intelligence, which can automatically learn models from data and... Continue Reading →
Great effort from our colleagues in Aarhus and Copenhagen. Diabetes mellitus is associated with serious complications, with foot ulcers and amputation of limbs among the most debilitating consequences of late diagnosis and treatment of foot ulcers. Thus, prediction and on-time treatment of diabetic foot ulcers (DFU) are of great importance for improving and maintaining patients'... Continue Reading →
