Cost-effectiveness and clinical outcomes of artificial intelligence-enhanced screening for diabetic foot ulcers: A simulation study

Autor: Yan Sun, Lixia Ge, Yee Gary Ang, Zhiwen Joseph Lo, Huiling Liew, Donna Tan, Daniel Chew, John Arputhan Abisheganaden
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Annals, Academy of Medicine, Singapore, Vol 53, Iss 10, Pp 638-640 (2024)
Druh dokumentu: article
ISSN: 2972-4066
DOI: 10.47102/annals-acadmedsg.2024220
Popis: Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus, with a lifetime risk estimated to be between 19% and 34%.1 Without timely prevention and management, DFUs can lead to lower extremity amputations (LEAs) and premature death.2,3 DFUs also impose significant healthcare and societal costs, especially in Southeast Asia.4,5 Regular foot screenings are essential for preventing these complications.
Databáze: Directory of Open Access Journals