For: | Tehsin S, Kausar S, Jameel A. Diabetic wounds and artificial intelligence: A mini-review. World J Clin Cases 2023; 11(1): 84-91 [PMID: 36687200 DOI: 10.12998/wjcc.v11.i1.84] |
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URL: | https://www.wjgnet.com/2307-8960/full/v11/i1/84.htm |
Number | Citing Articles |
1 |
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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2 |
Yan Jin, MingYao Meng, YaFang Zhang, Lin Mo, Hui Gao, YuHong Liu, Jun Wu, PingFen Yang, ZhongZi Zhang, Fu Jia, YiYi Zhao, Ying Huang. Comparative study on the efficacy of PRP gel and UC‐MSCs gel as adjuvant therapies in the treatment of DFU wounds. Skin Research and Technology 2024; 30(1) doi: 10.1111/srt.13549
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3 |
Priscila Apolinario, Flávia Cristina Zanchetta, Camila Quinetti Paes Pittella, Maria Helena Melo Lima. Avanços na Inteligência Artificial para o cuidado de úlceras em pessoas com Diabetes Mellitus. Revista Enfermagem Atual In Derme 2024; 98(3): e024377 doi: 10.31011/reaid-2024-v.98-n.3-art.2326
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4 |
Rúben Encarnação, Tânia Manuel, Hélder Palheira, João Neves-Amado, Paulo Alves. Artificial Intelligence in Wound Care Education: Protocol for a Scoping Review. Nursing Reports 2024; 14(1): 627 doi: 10.3390/nursrep14010048
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5 |
Dinh T. P. Le, Tuan D. Pham. Unveiling the role of artificial intelligence for wound assessment and wound healing prediction. Exploration of Medicine 2023; : 589 doi: 10.37349/emed.2023.00163
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