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Dec 15, 2022 (publication date) through Jan 7, 2025
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Publication Name
World Journal of Diabetes
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1948-9358
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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] |
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| URL: | https://www.wjgnet.com/1948-9358/full/v13/i12/1131.htm |
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Ming-Yao Chen. Progress in the application of artificial intelligence in skin wound assessment and prediction of healing time. American Journal of Translational Research 2024; 16(7): 2765 doi: 10.62347/MYHE3488
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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 Challenge. Lecture Notes in Computer Science 2023; 13797: 115 doi: 10.1007/978-3-031-26354-5_10
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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 review. Journal of Wound Care 2024; 33(4): 229 doi: 10.12968/jowc.2024.33.4.229
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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 ulcer. Frontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1221705
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Reem Al-Subai, Reema M. Al-Emadi, Hesham Aljohary, Musab Murad. Diabetic Foot Ulcers - Pathogenesis, Innovative Treatments and AI Applications. 2024; doi: 10.5772/intechopen.1003805
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卓 黄. Research Progress on the Role of General Practitioners in the Management of Diabetes Foot. Advances in Clinical Medicine 2024; 14(12): 382 doi: 10.12677/acm.2024.14123092
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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‐analysis. International Wound Journal 2024; 21(2) doi: 10.1111/iwj.14615
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Hesham Aljohary, Musab Ahmed Murad, Rashad Alfkey. Diabetic Foot Ulcers - Pathogenesis, Innovative Treatments and AI Applications. 2024; doi: 10.5772/intechopen.1003753
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Sanaz Martin. Future Direction of Wound Care. Nursing Clinics of North America 2024; doi: 10.1016/j.cnur.2024.07.011
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Arnold Anand Pagadala, Salaja Silas, Emmanuel Joy. Ensemble of Vision Transformers and CNNs for Accurate Diabetic Foot Ulcer Classification. 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS) 2024; : 300 doi: 10.1109/ICC-ROBINS60238.2024.10533993
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Ioannis T. Oikonomakos, Ranjit M. Anjana, Viswanathan Mohan, Charlotte Steenblock, Stefan R. Bornstein. Recent advances in artificial intelligence-assisted endocrinology and diabetes. Exploration of Endocrine and Metabolic Disease 2024; 1(1): 16 doi: 10.37349/eemd.2023.00004
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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 society. Journal of Research in Nursing 2023; 28(8): 579 doi: 10.1177/17449871231208173
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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 learning. BioMedical Engineering OnLine 2024; 23(1) doi: 10.1186/s12938-024-01210-6
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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 Applications. Journal of Diabetes Science and Technology 2023; doi: 10.1177/19322968231213378
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