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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
1
Christian McBride, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Moi Hoon Yap. Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) 2024; : 1 doi: 10.1109/ISBI56570.2024.10635155
2
Niloofar Eslahi, Foad Soleimani, Roya Lotfi, Fatemeh Mohandes, Abdolreza Simchi, Mehdi Razavi. How biomimetic nanofibers advance the realm of cutaneous wound management: The state-of-the-art and future prospectsProgress in Materials Science 2024; 145: 101293 doi: 10.1016/j.pmatsci.2024.101293
3
Ming-Yao Chen. Progress in the application of artificial intelligence in skin wound assessment and prediction of healing timeAmerican Journal of Translational Research 2024; 16(7): 2765 doi: 10.62347/MYHE3488
4
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
5
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
6
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
7
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
8
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
9
Hesham Aljohary, Musab Ahmed Murad, Rashad Alfkey. Diabetic Foot Ulcers - Pathogenesis, Innovative Treatments and AI Applications2024;  doi: 10.5772/intechopen.1003753
10
Sanaz Martin. Future Direction of Wound CareNursing Clinics of North America 2024;  doi: 10.1016/j.cnur.2024.07.011
11
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
12
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
13
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
14
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
15
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
16
Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, Alessio Signori, Sara Mora, Nicola Rosso, Cristina Campi, Michele Piana, Ylenia Murgia, Mauro Giacomini, Matteo Bassetti. Artificial intelligence and prescription of antibiotic therapy: present and futureExpert Review of Anti-infective Therapy 2024; : 1 doi: 10.1080/14787210.2024.2386669
17
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