From Telemedicine to Early Warning: Embedding Artificial Intelligence in Remote Follow-Up of Diabetic Foot Ulcers

Abstract

Keywords

diabetic foot ulcer telemedicine artificial intelligence remote monitoring triage

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References

McDermott

Fang

Boulton

AJM

Selvin

Etiology, epidemiology, and disparities in the burden of diabetic foot ulcers. Diabetes Care. 2023;46(1):209-221. doi:10.2337/dci22-0043.

Senneville

Albalawi

van Asten

, et al. IWGDF/IDSA guidelines on the diagnosis and treatment of diabetes-related foot infections. Clin Infect Dis. 2024;79:15. doi:10.1093/cid/ciad527.

Hazenberg

CEVB

Aan de Stegge

Van Baal

Moll

Bus

. Telehealth and telemedicine applications for the diabetic foot: a systematic review. Diabetes Metab Res Rev. 2020;36(3):e3247. doi:10.1002/dmrr.3247.

Dardari

Franc

Charpentier

, et al. Hospital stays and costs of telemedical monitoring versus standard follow-up for diabetic foot ulcer: an open-label randomized controlled study (TELEPIED trial). Lancet Reg Health Eur. 2023;32:100686. doi:10.1016/j.lanepe.2023.100686.

van Netten

Clark

Lazzarini

Janda

Reed

LF.

The validity and reliability of remote diabetic foot ulcer assessment using mobile phone images. Sci Rep. 2017;7:9480. doi:10.1038/s41598-017-09828-4.

Kaselimi

Protopapadakis

Doulamis

A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring. Front Physiol. 2022;13:924546. doi:10.3389/fphys.2022.924546.