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For: Chan S, Reddy V, Myers B, Thibodeaux Q, Brownstone N, Liao W. Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations. Dermatol Ther (Heidelb) 2020;10:365-86. [PMID: 32253623 DOI: 10.1007/s13555-020-00372-0] [Cited by in Crossref: 22] [Cited by in F6Publishing: 13] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Orsmond A, Bereza-Malcolm L, Lynch T, March L, Xue M. Skin Barrier Dysregulation in Psoriasis. Int J Mol Sci 2021;22:10841. [PMID: 34639182 DOI: 10.3390/ijms221910841] [Reference Citation Analysis]
2 Rezk E, Eltorki M, El-Dakhakhni W. Leveraging Artificial Intelligence to Improve the Diversity of Dermatological Skin Color Pathology: Protocol for an Algorithm Development and Validation Study. JMIR Res Protoc 2022;11:e34896. [PMID: 34983017 DOI: 10.2196/34896] [Reference Citation Analysis]
3 Alotaibi AS. Hybrid Model Based on ReliefF Algorithm and K-Nearest Neighbor for Erythemato-Squamous Diseases Forecasting. Arab J Sci Eng 2022;47:1299-307. [DOI: 10.1007/s13369-021-05921-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Norori N, Hu Q, Aellen FM, Faraci FD, Tzovara A. Addressing bias in big data and AI for health care: A call for open science. Patterns (N Y) 2021;2:100347. [PMID: 34693373 DOI: 10.1016/j.patter.2021.100347] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
5 Betzler BK, Rim TH, Sabanayagam C, Cheng C. Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging. Front Digit Health 2022;4:889445. [DOI: 10.3389/fdgth.2022.889445] [Reference Citation Analysis]
6 Tschandl P. Artificial intelligence for melanoma diagnosis. Ital J Dermatol Venereol 2021;156. [DOI: 10.23736/s2784-8671.20.06753-x] [Reference Citation Analysis]
7 Moglia A, Cerri A, Moglia A, Berchiolli R, Ferrari M, Betti R. Machine learning for the identification of decision boundaries during the transition from radial to vertical growth phase superficial spreading melanomas. Melanoma Res 2021;31:533-40. [PMID: 34686646 DOI: 10.1097/CMR.0000000000000774] [Reference Citation Analysis]
8 Mantena S, Celi LA, Keshavjee S, Beratarrechea A. Improving community health-care screenings with smartphone-based AI technologies. Lancet Digit Health 2021;3:e280-2. [PMID: 33890577 DOI: 10.1016/S2589-7500(21)00054-6] [Reference Citation Analysis]
9 Meijering E. A bird's-eye view of deep learning in bioimage analysis. Comput Struct Biotechnol J 2020;18:2312-25. [PMID: 32994890 DOI: 10.1016/j.csbj.2020.08.003] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
10 Chen SB, Novoa RA. Artificial intelligence for dermatopathology: Current trends and the road ahead. Seminars in Diagnostic Pathology 2022. [DOI: 10.1053/j.semdp.2022.01.003] [Reference Citation Analysis]
11 Piccialli F, Somma VD, Giampaolo F, Cuomo S, Fortino G. A survey on deep learning in medicine: Why, how and when? Information Fusion 2021;66:111-37. [DOI: 10.1016/j.inffus.2020.09.006] [Cited by in Crossref: 26] [Cited by in F6Publishing: 4] [Article Influence: 26.0] [Reference Citation Analysis]
12 Das K, Cockerell CJ, Patil A, Pietkiewicz P, Giulini M, Grabbe S, Goldust M. Machine Learning and Its Application in Skin Cancer. IJERPH 2021;18:13409. [DOI: 10.3390/ijerph182413409] [Reference Citation Analysis]
13 Sayed GI, Soliman MM, Hassanien AE. A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization. Comput Biol Med 2021;136:104712. [PMID: 34388470 DOI: 10.1016/j.compbiomed.2021.104712] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Carrion C, Robles N, Sola-Morales O, Aymerich M, Ruiz Postigo JA. Mobile Health Strategies to Tackle Skin Neglected Tropical Diseases With Recommendations From Innovative Experiences: Systematic Review. JMIR Mhealth Uhealth 2020;8:e22478. [PMID: 33382382 DOI: 10.2196/22478] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
15 Li H, Pan Y, Zhao J, Zhang L. Skin disease diagnosis with deep learning: A review. Neurocomputing 2021;464:364-93. [DOI: 10.1016/j.neucom.2021.08.096] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
16 Zéboulon P, Debellemanière G, Bouvet M, Gatinel D. Corneal Topography Raw Data Classification Using a Convolutional Neural Network. Am J Ophthalmol 2020;219:33-9. [PMID: 32533948 DOI: 10.1016/j.ajo.2020.06.005] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
17 Pai VV, Pai RB. Artificial intelligence in dermatology and healthcare: An overview. Indian J Dermatol Venereol Leprol 2021;87:457-67. [PMID: 34114421 DOI: 10.25259/IJDVL_518_19] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Zhao C, Shuai R, Ma L, Liu W, Wu M. Segmentation of skin lesions image based on U-Net + +. Multimed Tools Appl. [DOI: 10.1007/s11042-022-12067-z] [Reference Citation Analysis]
19 Caffery LJ, Rotemberg V, Weber J, Soyer HP, Malvehy J, Clunie D. The Role of DICOM in Artificial Intelligence for Skin Disease. Front Med (Lausanne) 2020;7:619787. [PMID: 33644087 DOI: 10.3389/fmed.2020.619787] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Arora A. Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review. Med Devices (Auckl) 2020;13:223-30. [PMID: 32904333 DOI: 10.2147/MDER.S262590] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
21 Aggarwal P, Papay FA. Artificial intelligence image recognition of melanoma and basal cell carcinoma in racially diverse populations. J Dermatolog Treat 2021;:1-6. [PMID: 34154489 DOI: 10.1080/09546634.2021.1944970] [Reference Citation Analysis]