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Cited by in CrossRef
For: Pappachan JM, Cassidy B, Fernandez CJ, Chandrabalan V, Yap MH. The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future. World J Diabetes 2022; 13(12): 1131-1139 [PMID: 36578875 DOI: 10.4239/wjd.v13.i12.1131]
URL: https://www.wjgnet.com/1948-9358/full/v13/i12/1131.htm
Number Citing Articles
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Connah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O’Shea, Vishnu Chandrabalan, Moi Hoon Yap. Diabetic Foot Ulcers Grand ChallengeLecture Notes in Computer Science 2023; 13797: 115 doi: 10.1007/978-3-031-26354-5_10
Mark G Rippon, Leigh Fleming, Tianhua Chen, Alan A Rogers, Karen Ousey. Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative reviewJournal of Wound Care 2024; 33(4): 229 doi: 10.12968/jowc.2024.33.4.229
Pingnan Jiang, Qianhang Li, Yanhong Luo, Feng Luo, Qingya Che, Zhaoyu Lu, Shuxiang Yang, Yan Yang, Xia Chen, Yulan Cai. Current status and progress in research on dressing management for diabetic foot ulcerFrontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1221705
Reem Al-Subai, Reema M. Al-Emadi, Hesham Aljohary, Musab Murad. Diabetic Foot Ulcers - Pathogenesis, Innovative Treatments and AI Applications2024;  doi: 10.5772/intechopen.1003805
Xuchao Cai, Xin Fang, Linjun Wu, Xiaohu Meng. The efficacy and safety of non‐surgical treatment of diabetic foot wound infections and ulcers: A systemic review and meta‐analysisInternational Wound Journal 2024; 21(2) doi: 10.1111/iwj.14615
Hesham Aljohary, Musab Ahmed Murad, Rashad Alfkey. Diabetic Foot Ulcers - Pathogenesis, Innovative Treatments and AI Applications2024;  doi: 10.5772/intechopen.1003753
Arnold Anand Pagadala, Salaja Silas, Emmanuel Joy. Ensemble of Vision Transformers and CNNs for Accurate Diabetic Foot Ulcer Classification2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS) 2024; : 300 doi: 10.1109/ICC-ROBINS60238.2024.10533993
Ioannis T. Oikonomakos, Ranjit M. Anjana, Viswanathan Mohan, Charlotte Steenblock, Stefan R. Bornstein. Recent advances in artificial intelligence-assisted endocrinology and diabetesExploration of Endocrine and Metabolic Disease 2024; 1(1): 16 doi: 10.37349/eemd.2023.00004
Stella F Bosun-Arije. Commentary: Development of a resource-use measure to capture costs of diabetic foot ulcers to the United Kingdom National Health Service, patients and societyJournal of Research in Nursing 2023; 28(8): 579 doi: 10.1177/17449871231208173
Reza Basiri, Karim Manji, Philip M. LeLievre, John Toole, Faith Kim, Shehroz S. Khan, Milos R. Popovic. Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learningBioMedical Engineering OnLine 2024; 23(1) doi: 10.1186/s12938-024-01210-6
Cynthia Baseman, Maya Fayfman, Marcos C. Schechter, Sarah Ostadabbas, Gabriel Santamarina, Thomas Ploetz, Rosa I. Arriaga. Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and ApplicationsJournal of Diabetes Science and Technology 2023;  doi: 10.1177/19322968231213378
Imran Chowdhury Dipto, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Vishnu Chandrabalan, Moi Hoon Yap. Diabetic Foot Ulcers Grand ChallengeLecture Notes in Computer Science 2023; 13797: 1 doi: 10.1007/978-3-031-26354-5_1