Development of Artificial Intelligence for Predicting Diabetic Foot Ulcers in Regional, Rural and Remote Areas: A Pilot Study

Collaborator

People living in regional, rural, and remote areas are many times more likely to have diabetic foot ulcer (DFU) due largely to late detection of the condition. We propose to develop an artificial intelligence (AI) model using clinical data and images to detect early DFU. Two hundred and fifty diabetes subjects aged >18 years with or without DFUs living in Townsville and Northwest HHSs will be studied in collaboration with JCU IT experts. The AI applications will be trained to select the strongest predictors to determine early occurrence of DFUs which will lead to possible reduction of limb amputations.

13 Feb 2026 - 11 Dec 2029

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