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Cited by in F6Publishing
For: Bian Y, Xiang Y, Tong B, Feng B, Weng X. Artificial Intelligence-Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study. J Med Internet Res 2020;22:e16896. [PMID: 32452807 DOI: 10.2196/16896] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Owolabi EO, Mac Quene T, Louw J, Davies JI, Chu KM. Telemedicine in Surgical Care in Low- and Middle-Income Countries: A Scoping Review. World J Surg. [DOI: 10.1007/s00268-022-06549-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Geoghegan L, Scarborough A, Wormald JCR, Harrison CJ, Collins D, Gardiner M, Bruce J, Rodrigues JN. Automated conversational agents for post-intervention follow-up: a systematic review. BJS Open 2021;5:zrab070. [PMID: 34323916 DOI: 10.1093/bjsopen/zrab070] [Reference Citation Analysis]
3 Von Gerich H, Moen H, Block LJ, Chu CH, Deforest H, Hobensack M, Michalowski M, Mitchell J, Nibber R, Olalia MA, Pruinelli L, Ronquillo CE, Topaz M, Peltonen L. Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies 2021. [DOI: 10.1016/j.ijnurstu.2021.104153] [Reference Citation Analysis]
4 Park SD, Kim NY, Jeon JH, Kim JG, Lee IK, Park KG, Choi YK. Impact of urgently initiated tele-prescription due to COVID-19 on glycemic control in patients with type 2 diabetes. Korean J Intern Med 2021;36:942-8. [PMID: 34092049 DOI: 10.3904/kjim.2020.464] [Reference Citation Analysis]