MIG has created a solution that adopts 3D imagery and depth scanning technology to provide monitoring, detection and prediction of DFUs. MIG’s AI engine uses machine-learning algorithms to actively monitor areas that are deemed at risk and detect ulcers. In the near future, MIG’s AI algorithms will expand towards deep-learning initiatives to be able to predict ulcers through pattern matching and correlations between data points to actively prevent ulcer formation across people with diabetes.
Through catching deteriorating ulcers earlier on in the patient journey, reduces the need for amputations avoiding surgery and aftercare costs. More importantly avoiding amputations for patients ensures quality of life for the patient both socially and economically.