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Cited by in F6Publishing
For: Chin YPH, Hou ZY, Lee MY, Chu HM, Wang HH, Lin YT, Gittin A, Chien SC, Nguyen PA, Li LC, Chang TH, Li YCJ. A patient-oriented, general-practitioner-level, deep-learning-based cutaneous pigmented lesion risk classifier on a smartphone. Br J Dermatol 2020;182:1498-500. [PMID: 31907926 DOI: 10.1111/bjd.18859] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhang L, Mishra S, Zhang T, Zhang Y, Zhang D, Lv Y, Lv M, Guan N, Hu XS, Chen DZ, Han X. Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis. Front Med (Lausanne) 2021;8:754202. [PMID: 34733869 DOI: 10.3389/fmed.2021.754202] [Reference Citation Analysis]
2 Po Harvey Chin Y, Hsin Huang I, Yu Hou Z, Yu Chen P, Bassir F, Han Wang H, Ting Lin Y, Chuan Jack Li Y. User satisfaction with a smartphone-compatible, artificial intelligence-based cutaneous pigmented lesion evaluator. Comput Methods Programs Biomed 2020;195:105649. [PMID: 32750631 DOI: 10.1016/j.cmpb.2020.105649] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Iqbal U, Celi LA, Li YJ. How Can Artificial Intelligence Make Medicine More Preemptive? J Med Internet Res 2020;22:e17211. [PMID: 32780024 DOI: 10.2196/17211] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Höhn J, Hekler A, Krieghoff-Henning E, Kather JN, Utikal JS, Meier F, Gellrich FF, Hauschild A, French L, Schlager JG, Ghoreschi K, Wilhelm T, Kutzner H, Heppt M, Haferkamp S, Sondermann W, Schadendorf D, Schilling B, Maron RC, Schmitt M, Jutzi T, Fröhling S, Lipka DB, Brinker TJ. Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. J Med Internet Res 2021;23:e20708. [PMID: 34255646 DOI: 10.2196/20708] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Chin YPH, Song W, Lien CE, Yoon CH, Wang WC, Liu J, Nguyen PA, Feng YT, Zhou L, Li YCJ, Bates DW. Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study. JMIR Med Inform 2021;9:e23454. [PMID: 33502331 DOI: 10.2196/23454] [Reference Citation Analysis]