20.500.12556/DKUM-86402 Artificial intelligence based prediction of diabetic foot risk in patients with diabetes a literature review Diabetic foot is a prevalent chronic complication of diabetes and increases the risk of lower limb amputation, leading to both an economic and a major societal problem. By detecting the risk of developing diabetic foot sufficiently early, it can be prevented or at least postponed. Using artificial intelligence, delayed diagnosis can be prevented, leading to more intensive preventive treatment of patients. Based on a systematic literature review, we analyzed 14 articles that included the use of artificial intelligence to predict the risk of developing diabetic foot. The articles were highly heterogeneous in terms of data use and showed varying degrees of sensitivity, specificity, and accuracy. The most used machine learning techniques were support vector machine (SVM) (n = 6) and K-Nearest Neighbor (KNN) (n = 5). Future research is recommended on larger samples of participants using different techniques to determine the most effective one. artificial intelligence machine learning thermography diabetic foot prediction diabetes diabetes care diabetic foot literature review true true true Angleški jezik Angleški jezik Neznano 2023-11-27 14:21:51 2023-11-27 14:34:52 2025-05-08 13:57:38 0000-00-00 00:00:00 2023 0 0 str. 1-13 iss. 5, [article no.] 2823 Vol. 13 2023 0000-00-00 PostprintKoncna Objavljeno apc 0000-00-00 0000-00-00 2023-01-01 616.379-008.64:004.89 147150339 10.3390/app13052823 2076-3417 applsci-13-02823-v2.pdf applsci-13-02823-v2.pdf 1 0E284E987A0FBF80144DB3F5E532E094 ec757156dbc1041e88e439ed784e63eb074ec96c672ffe60374c8491b42b38d7 009480d9-8d28-11ee-88ec-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=174345 https://www.mdpi.com/2076-3417/13/5/2823 1 ec859822-8d27-11ee-88ec-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=174344 Fakulteta za zdravstvene vede 0 0 0