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Article

A comprehensive biomechanical phenotyping framework for diabetic foot ulcer risk stratification using multi-modal gait analysis and machine learning.

Clinical biomechanics (Bristol, Avon) - 1 Mar 2026

Jafarzadeh Mohsen, Golpaygani Ali Tavakoli, Ghomshe Farhad Tabatabaei

Abstract excerpt

BACKGROUND: Current diabetic foot ulcer risk assessment methods lack precision in identifying high-risk biomechanical phenotypes. This study aimed to develop a comprehensive biomechanical profiling framework integrating multi-modal gait analysis with machine learning for enhanced ulcer risk stratification. METHODS: In this prospective cross-sectional study, we analyzed214 participants: active diabetic foot ulcer...

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PMID: 41616704
DOI: 10.1016/j.clinbiomech.2026.106753

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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