Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation-Reference-Cited by-同舟云学术

Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation

Published:2023-11 Issue: Volume:205 Page:110951
ISSN:0168-8227
Container-title:Diabetes Research and Clinical Practice
language:en
Short-container-title:Diabetes Research and Clinical Practice

Author:

Cassidy Bill^ORCID,Hoon Yap Moi,Pappachan Joseph M.^ORCID,Ahmad Naseer,Haycocks Samantha^ORCID,O'Shea Claire,Fernandez Cornelious J.^ORCID,Chacko Elias,Jacob Koshy,Reeves Neil D.^ORCID

Publisher

Elsevier BV

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference31 articles.

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3. Mobile health apps to facilitate self-care: a qualitative study of user experiences;Anderson;PLoS One,2016

4. Diabetic foot ulcers and their recurrence;Armstrong;N Engl J Med,2017

5. The 2015 iwgdf guidance documents on prevention and management of foot problems in diabetes: development of an evidence-based global consensus;Bakker;Diabetes Metab Res Rev,2016

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1. Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review;Journal of Medical Internet Research;2024-05-13

2. Ensemble of Vision Transformers and CNNs for Accurate Diabetic Foot Ulcer Classification;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

3. Appropriateness of Artificial Intelligence Chatbots in Diabetic Foot Ulcer Management;The International Journal of Lower Extremity Wounds;2024-02-28