Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review

MG Rippon, L Fleming, T Chen… - Journal of wound …, 2024 - magonlinelibrary.com
Objective: The effective assessment of wounds, both acute and hard-to-heal, is an important
component in the delivery by wound care practitioners of efficacious wound care for patients …

[PDF][PDF] Artificial intelligence in wound care: its use in the diagnosis, assessment, and treatment of chronic wounds–a narrative review of the evidence

MG Rippon, L Fleming, T Chen, AA Rogers… - Journal of wound …, 2024 - pure.hud.ac.uk
The effective assessment of wounds, both acute and chronic, is an important component in
the delivery by wound care practitioners of efficacious wound care for patients. Improved …

PFUTnet: A Novel Deep Learning Architecture for Diabetic Foot Severity Mapping and Analysis

N Sharma, S Mirza, A Rastogi… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Clinicians traditionally rely on manual inspection to assess the severity of diabetic foot ulcers
(DFUs). However, this approach is subjective and prone to errors. Effective deep learning …

Deep neural net for identification of neuropathic foot in subjects with type 2 diabetes mellitus using plantar foot thermographic images

NC Evangeline, S Srinivasan - Biomedical Signal Processing and Control, 2024 - Elsevier
Background Diabetic foot syndrome (DFS) is characterized by anomalies in thermal
distribution in plantar foot of diabetic subjects. While non-diabetic subjects exhibit symmetric …

Is plantar thermography a valid digital biomarker for characterising diabetic foot ulceration risk?

A Jagadeesh, C Aramrat, A Nur, P Mallinson… - arXiv preprint arXiv …, 2024 - arxiv.org
Background: In the absence of prospective data on diabetic foot ulcers (DFU), cross-
sectional associations with causal risk factors (peripheral neuropathy, and peripheral arterial …