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Cited by in F6Publishing
For: Ngoo A, Finnane A, Mcmeniman E, Tan J, Janda M, Soyer HP. Efficacy of smartphone applications in high-risk pigmented lesions. Australas J Dermatol 2018;59:e175-82. [DOI: 10.1111/ajd.12599] [Cited by in Crossref: 25] [Cited by in F6Publishing: 21] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Brinker TJ, Brieske CM, Schaefer CM, Buslaff F, Gatzka M, Petri MP, Sondermann W, Schadendorf D, Stoffels I, Klode J. Photoaging Mobile Apps in School-Based Melanoma Prevention: Pilot Study. J Med Internet Res 2017;19:e319. [PMID: 28887295 DOI: 10.2196/jmir.8661] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
2 Strzelecki MH, Strąkowska M, Kozłowski M, Urbańczyk T, Wielowieyska-Szybińska D, Kociołek M. Skin Lesion Detection Algorithms in Whole Body Images. Sensors (Basel) 2021;21:6639. [PMID: 34640959 DOI: 10.3390/s21196639] [Reference Citation Analysis]
3 Udrea A, Mitra GD, Costea D, Noels EC, Wakkee M, Siegel DM, de Carvalho TM, Nijsten TEC. Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms. J Eur Acad Dermatol Venereol 2020;34:648-55. [PMID: 31494983 DOI: 10.1111/jdv.15935] [Cited by in Crossref: 20] [Cited by in F6Publishing: 13] [Article Influence: 6.7] [Reference Citation Analysis]
4 Lee KJ, Finnane A, Soyer HP. Recent trends in teledermatology and teledermoscopy. Dermatol Pract Concept 2018;8:214-23. [PMID: 30116667 DOI: 10.5826/dpc.0803a13] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
5 Chu YS, An HG, Oh BH, Yang S. Artificial Intelligence in Cutaneous Oncology. Front Med (Lausanne) 2020;7:318. [PMID: 32754606 DOI: 10.3389/fmed.2020.00318] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
6 Meijs M, Herrera A, Acosta A, de Vries E. Burden of skin cancer in Colombia. Int J Dermatol 2022. [PMID: 35141880 DOI: 10.1111/ijd.16077] [Reference Citation Analysis]
7 Akbar S, Coiera E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. J Am Med Inform Assoc 2020;27:330-40. [PMID: 31599936 DOI: 10.1093/jamia/ocz175] [Cited by in Crossref: 32] [Cited by in F6Publishing: 18] [Article Influence: 32.0] [Reference Citation Analysis]
8 de Carvalho TM, Noels E, Wakkee M, Udrea A, Nijsten T. Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise. JMIR Dermatol 2019;2:e13376. [DOI: 10.2196/13376] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
9 Brinker TJ, Heckl M, Gatzka M, Heppt MV, Resende Rodrigues H, Schneider S, Sondermann W, de Almeida E Silva C, Kirchberger MC, Klode J, Enk AH, Knispel S, von Kalle C, Stoffels I, Schadendorf D, Nakamura Y, Esser S, Assis A, Bernardes-Souza B. A Skin Cancer Prevention Facial-Aging Mobile App for Secondary Schools in Brazil: Appearance-Focused Interventional Study. JMIR Mhealth Uhealth 2018;6:e60. [PMID: 29523502 DOI: 10.2196/mhealth.9794] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
10 Djavid AR, Stonesifer C, Fullerton BT, Wang SW, Tartaro MA, Kwinta BD, Grimes JM, Geskin LJ, Saenger YM. Etiologies of Melanoma Development and Prevention Measures: A Review of the Current Evidence. Cancers (Basel) 2021;13:4914. [PMID: 34638397 DOI: 10.3390/cancers13194914] [Reference Citation Analysis]
11 Jinnai S, Yamazaki N, Hirano Y, Sugawara Y, Ohe Y, Hamamoto R. The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning. Biomolecules. 2020;10. [PMID: 32751349 DOI: 10.3390/biom10081123] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
12 Ackermann DM, Smit AK, Janda M, van Kemenade CH, Dieng M, Morton RL, Turner RM, Cust AE, Irwig L, Hersch JK, Guitera P, Soyer HP, Mar V, Saw RPM, Low D, Low C, Drabarek D, Espinoza D, Emery J, Murchie P, Thompson JF, Scolyer RA, Azzi A, Lilleyman A, Bell KJL. Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow-up? A protocol for the MEL-SELF randomised controlled trial. Trials 2021;22:324. [PMID: 33947444 DOI: 10.1186/s13063-021-05231-7] [Reference Citation Analysis]
13 Peracca SB, Jackson GL, Weinstock MA, Oh DH. Implementation of Teledermatology: Theory and Practice. Curr Derm Rep 2019;8:35-45. [DOI: 10.1007/s13671-019-0252-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
14 Raphael AP, Soyer HP. Automated diagnosis: shedding the light on skin cancer. Br J Dermatol 2018;178:331-3. [PMID: 29441560 DOI: 10.1111/bjd.16219] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
15 Kho J, Gillespie N, Horsham C, Snoswell C, Vagenas D, Soyer HP, Janda M. Skin Doctor Consultations Using Mobile Teledermoscopy: Exploring Virtual Care Business Models. Telemed J E Health 2020;26:1406-13. [PMID: 32058835 DOI: 10.1089/tmj.2019.0228] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
16 Chung Y, van der Sande AAJ, de Roos KP, Bekkenk MW, de Haas ERM, Kelleners-Smeets NWJ, Kukutsch NA. Poor agreement between the automated risk assessment of a smartphone application for skin cancer detection and the rating by dermatologists. J Eur Acad Dermatol Venereol 2020;34:274-8. [PMID: 31423673 DOI: 10.1111/jdv.15873] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
17 Flament F, Zhang Y, Yu Z, Jiang R, Houghton J, Sarda Duthil L, Arcin V, Daniel R, Perrier JC, Niviere J, Moyano G, Thenin A, Garcia MS, Adam AS, Chibout S, Blin X, Delaunay C, Aarabi P. Developing an Artificial Intelligence (A.I)-based descriptor of facial appearance that fits with the assessments of makeup experts. Skin Res Technol 2021. [PMID: 33998717 DOI: 10.1111/srt.13061] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Millenson ML, Baldwin JL, Zipperer L, Singh H. Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis. Diagnosis (Berl) 2018;5:95-105. [PMID: 30032130 DOI: 10.1515/dx-2018-0009] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 6.5] [Reference Citation Analysis]
19 Fujisawa Y, Otomo Y, Ogata Y, Nakamura Y, Fujita R, Ishitsuka Y, Watanabe R, Okiyama N, Ohara K, Fujimoto M. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis. Br J Dermatol. 2019;180:373-381. [PMID: 29953582 DOI: 10.1111/bjd.16924] [Cited by in Crossref: 93] [Cited by in F6Publishing: 66] [Article Influence: 23.3] [Reference Citation Analysis]
20 Alves J, Moreira D, Alves P, Rosado L, Vasconcelos MJM. Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. Sensors (Basel) 2019;19:E4957. [PMID: 31739464 DOI: 10.3390/s19224957] [Cited by in Crossref: 10] [Cited by in F6Publishing: 3] [Article Influence: 3.3] [Reference Citation Analysis]
21 Blum A, Bosch S, Haenssle HA, Fink C, Hofmann-Wellenhof R, Zalaudek I, Kittler H, Tschandl P. [Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice]. Hautarzt 2020;71:691-8. [PMID: 32720165 DOI: 10.1007/s00105-020-04658-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
22 Rat C, Hild S, Rault Sérandour J, Gaultier A, Quereux G, Dreno B, Nguyen JM. Use of Smartphones for Early Detection of Melanoma: Systematic Review. J Med Internet Res 2018;20:e135. [PMID: 29653918 DOI: 10.2196/jmir.9392] [Cited by in Crossref: 42] [Cited by in F6Publishing: 33] [Article Influence: 10.5] [Reference Citation Analysis]
23 Freeman K, Dinnes J, Chuchu N, Takwoingi Y, Bayliss SE, Matin RN, Jain A, Walter FM, Williams HC, Deeks JJ. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ 2020;368:m127. [PMID: 32041693 DOI: 10.1136/bmj.m127] [Cited by in Crossref: 46] [Cited by in F6Publishing: 31] [Article Influence: 23.0] [Reference Citation Analysis]