BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: 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]
Number Citing Articles
1 Patel NP, Fearfield L. Dermatology virtual consultations: are we providing the best care for our patients? Clin Exp Dermatol 2021;46:1110-1. [PMID: 33687099 DOI: 10.1111/ced.14632] [Reference Citation Analysis]
2 Ji-Xu A, Dinnes J, Matin RN. Establishing the use of total body photography among U.K. dermatologists. Clin Exp Dermatol 2021. [PMID: 34382263 DOI: 10.1111/ced.14882] [Reference Citation Analysis]
3 Young AT, Vora NB, Cortez J, Tam A, Yeniay Y, Afifi L, Yan D, Nosrati A, Wong A, Johal A, Wei ML. The role of technology in melanoma screening and diagnosis. Pigment Cell Melanoma Res 2021;34:288-300. [PMID: 32558281 DOI: 10.1111/pcmr.12907] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Matin RN, Dinnes J. AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation. Br J Cancer 2021;124:1749-50. [PMID: 33742148 DOI: 10.1038/s41416-021-01302-3] [Reference Citation Analysis]
5 Kong FW, Horsham C, Ngoo A, Soyer HP, Janda M. Review of smartphone mobile applications for skin cancer detection: what are the changes in availability, functionality, and costs to users over time? Int J Dermatol 2021;60:289-308. [PMID: 32880938 DOI: 10.1111/ijd.15132] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
6 Malvehy J, Ginsberg R, Sampietro-Colom L, Ficapal J, Combalia M, Svedenhag P. New regulation of medical devices in the EU: impact in dermatology. J Eur Acad Dermatol Venereol 2021. [PMID: 34816498 DOI: 10.1111/jdv.17830] [Reference Citation Analysis]
7 Shahzadi I, Ali Z, Baek SH, Mirza B, Ahn KS. Assessment of the Antitumor Potential of Umbelliprenin, a Naturally Occurring Sesquiterpene Coumarin. Biomedicines 2020;8:E126. [PMID: 32443431 DOI: 10.3390/biomedicines8050126] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
8 Tschandl P. Artificial intelligence for melanoma diagnosis. Ital J Dermatol Venereol 2021;156. [DOI: 10.23736/s2784-8671.20.06753-x] [Reference Citation Analysis]
9 Sangers TE, Nijsten T, Wakkee M. Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis. J Eur Acad Dermatol Venereol 2021. [PMID: 34077573 DOI: 10.1111/jdv.17442] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Micocci M, Borsci S, Thakerar V, Walne S, Manshadi Y, Edridge F, Mullarkey D, Buckle P, Hanna GB. Attitudes towards Trusting Artificial Intelligence Insights and Factors to Prevent the Passive Adherence of GPs: A Pilot Study. J Clin Med 2021;10:3101. [PMID: 34300267 DOI: 10.3390/jcm10143101] [Reference Citation Analysis]
11 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]
12 Daneshjou R, Smith MP, Sun MD, Rotemberg V, Zou J. Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review. JAMA Dermatol 2021;157:1362-9. [PMID: 34550305 DOI: 10.1001/jamadermatol.2021.3129] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Iacullo J, Barriera-Silvestrini P, Knackstedt TJ. Dermatologic Follow-up and Assessment of Suspicious Lesions. Clin Plast Surg 2021;48:617-29. [PMID: 34503722 DOI: 10.1016/j.cps.2021.05.006] [Reference Citation Analysis]
14 Thomas LB, Mastorides SM, Viswanadhan NA, Jakey CE, Borkowski AA. Artificial Intelligence: Review of Current and Future Applications in Medicine. Fed Pract 2021;38:527-38. [PMID: 35136337 DOI: 10.12788/fp.0174] [Reference Citation Analysis]
15 Sangers TE, Wakkee M, Kramer-Noels EC, Nijsten T, Lugtenberg M. Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators. Br J Dermatol 2021. [PMID: 33959945 DOI: 10.1111/bjd.20441] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
16 Garbe C, Amaral T, Peris K, Hauschild A, Arenberger P, Basset-seguin N, Bastholt L, Bataille V, del Marmol V, Dréno B, Fargnoli MC, Forsea A, Grob J, Höller C, Kaufmann R, Kelleners-smeets N, Lallas A, Lebbé C, Lytvynenko B, Malvehy J, Moreno-ramirez D, Nathan P, Pellacani G, Saiag P, Stratigos AJ, Van Akkooi AC, Vieira R, Zalaudek I, Lorigan P. European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics: Update 2022. European Journal of Cancer 2022. [DOI: 10.1016/j.ejca.2022.03.008] [Reference Citation Analysis]
17 Xu Y, Liu X, Cao X, Huang C, Liu E, Qian S, Liu X, Wu Y, Dong F, Qiu CW, Qiu J, Hua K, Su W, Wu J, Xu H, Han Y, Fu C, Yin Z, Liu M, Roepman R, Dietmann S, Virta M, Kengara F, Zhang Z, Zhang L, Zhao T, Dai J, Yang J, Lan L, Luo M, Liu Z, An T, Zhang B, He X, Cong S, Liu X, Zhang W, Lewis JP, Tiedje JM, Wang Q, An Z, Wang F, Zhang L, Huang T, Lu C, Cai Z, Wang F, Zhang J. Artificial intelligence: A powerful paradigm for scientific research. Innovation (N Y) 2021;2:100179. [PMID: 34877560 DOI: 10.1016/j.xinn.2021.100179] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
18 Greis C, Maul LV, Hsu C, Djamei V, Schmid-Grendelmeier P, Navarini AA. [Artificial intelligence to support telemedicine in Africa]. Hautarzt 2020;71:686-90. [PMID: 32761386 DOI: 10.1007/s00105-020-04664-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Young AT, Xiong M, Pfau J, Keiser MJ, Wei ML. Artificial Intelligence in Dermatology: A Primer. J Invest Dermatol 2020;140:1504-12. [PMID: 32229141 DOI: 10.1016/j.jid.2020.02.026] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 5.5] [Reference Citation Analysis]
20 Cadamuro J. Rise of the Machines: The Inevitable Evolution of Medicine and Medical Laboratories Intertwining with Artificial Intelligence-A Narrative Review. Diagnostics (Basel) 2021;11:1399. [PMID: 34441333 DOI: 10.3390/diagnostics11081399] [Reference Citation Analysis]
21 Park J, Kwon M, Lee J, Park S, Seo J, Roh S. Anti-Cancer Effects of Lactobacillus plantarum L-14 Cell-Free Extract on Human Malignant Melanoma A375 Cells. Molecules 2020;25:E3895. [PMID: 32859054 DOI: 10.3390/molecules25173895] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
22 Willingham ML Jr, Spencer SYPK, Lum CA, Navarro Sanchez JM, Burnett T, Shepherd J, Cassel K. The potential of using artificial intelligence to improve skin cancer diagnoses in Hawai'i's multiethnic population. Melanoma Res 2021;31:504-14. [PMID: 34744150 DOI: 10.1097/CMR.0000000000000779] [Reference Citation Analysis]
23 Scotti Requena S, Sterling M, Elphinston RA, Ritchie C, Robins S, R Armfield N. Development and use of mobile messaging for individuals with musculoskeletal pain conditions: a scoping review protocol. BMJ Open 2021;11:e048964. [PMID: 34253673 DOI: 10.1136/bmjopen-2021-048964] [Reference Citation Analysis]
24 Taylor M, Liu X, Denniston A, Esteva A, Ko J, Daneshjou R, Chan AW; SPIRIT-AI and CONSORT-AI Working Group. Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines. J Invest Dermatol 2021;141:2109-11. [PMID: 33766511 DOI: 10.1016/j.jid.2021.02.744] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
25 Deeks J, Dinnes J, Williams H. Sensitivity and specificity of SkinVision are likely to have been overestimated. J Eur Acad Dermatol Venereol 2020;34. [DOI: 10.1111/jdv.16382] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
26 Kasteleyn MJ, Versluis A, van Peet P, Kirk UB, van Dalfsen J, Meijer E, Honkoop P, Ho K, Chavannes NH, Talboom-Kamp EPWA. SERIES: eHealth in primary care. Part 5: A critical appraisal of five widely used eHealth applications for primary care - opportunities and challenges. Eur J Gen Pract 2021;27:248-56. [PMID: 34432601 DOI: 10.1080/13814788.2021.1962845] [Reference Citation Analysis]
27 Mylle S, Verhaeghe E, Van Coile L, Van de Maele B, Hoorens I, Brochez L. Lesion-directed screening to optimize skin cancer detection in dermatology practice: an observational study. J Eur Acad Dermatol Venereol 2021;35:1309-14. [PMID: 33480073 DOI: 10.1111/jdv.17129] [Reference Citation Analysis]
28 Sendak MP, Gao M, Ratliff W, Nichols M, Bedoya A, O'Brien C, Balu S. Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. J Am Med Inform Assoc 2021;28:2541-2. [PMID: 34498049 DOI: 10.1093/jamia/ocab129] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Garbe C, Peris K, Soura E, Forsea AM, Hauschild A, Arenbergerova M, Bylaite M, Del Marmol V, Bataille V, Samimi M, Gandini S, Saiag P, Eigentler TK, Lallas A, Zalaudek I, Lebbe C, Grob JJ, Hoeller C, Robert C, Dréno B, Arenberger P, Kandolf-Sekulovic L, Kaufmann R, Malvehy J, Puig S, Leiter U, Ribero S, Papadavid E, Quaglino P, Bagot M, John SM, Richard MA, Trakatelli M, Salavastru C, Borradori L, Marinovic B, Enk A, Pincelli C, Ioannides D, Paul C, Stratigos AJ. The evolving field of Dermato-oncology and the role of dermatologists: Position Paper of the EADO, EADV and Task Forces, EDF, IDS, EBDV-UEMS and EORTC Cutaneous Lymphoma Task Force. J Eur Acad Dermatol Venereol 2020;34:2183-97. [PMID: 32840022 DOI: 10.1111/jdv.16849] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
30 Kamiński M, Tizek L, Zink A. 'Dr. Google, What Is That on My Skin?'-Internet Searches Related to Skin Problems: Google Trends Data from 2004 to 2019. Int J Environ Res Public Health 2021;18:2541. [PMID: 33806391 DOI: 10.3390/ijerph18052541] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Newcomer K, Robbins KJ, Perone J, Hinojosa FL, Chen D, Jones S, Kaufman CK, Weiser R, Fields RC, Tyler DS. Malignant melanoma: evolving practice management in an era of increasingly effective systemic therapies. Curr Probl Surg 2022;59:101030. [PMID: 35033317 DOI: 10.1016/j.cpsurg.2021.101030] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 Malhi IS, Yiu ZZN. Algorithm-based smartphone apps to assess risk of skin cancer in adults: critical appraisal of a systematic review. Br J Dermatol 2021;184:638-9. [PMID: 32866990 DOI: 10.1111/bjd.19502] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
33 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]
34 Steele L, Velazquez-Pimentel D, Thomas BR. Do AI models recognise rare, aggressive skin cancers? An assessment of a direct-to-consumer application in the diagnosis of Merkel cell carcinoma and amelanotic melanoma. J Eur Acad Dermatol Venereol 2021. [PMID: 34242437 DOI: 10.1111/jdv.17517] [Reference Citation Analysis]
35 Morley J, Floridi L, Goldacre B. The poor performance of apps assessing skin cancer risk. BMJ. [DOI: 10.1136/bmj.m428] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
36 Moses JC, Adibi S, Shariful Islam SM, Wickramasinghe N, Nguyen L. Application of Smartphone Technologies in Disease Monitoring: A Systematic Review. Healthcare (Basel) 2021;9:889. [PMID: 34356267 DOI: 10.3390/healthcare9070889] [Reference Citation Analysis]
37 Lewinson RT, Vallerand IA. The Need for a National Strategy on Artificial Intelligence in Canadian Dermatology. J Cutan Med Surg 2020;24:428-9. [PMID: 32363930 DOI: 10.1177/1203475420923648] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
38 Puri P, Yiannias JA, Mangold AR, Swanson DL, Pittelkow MR. The policy dimensions, regulatory landscape, and market characteristics of teledermatology in the United States. JAAD Int 2020;1:202-7. [PMID: 34409341 DOI: 10.1016/j.jdin.2020.09.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
39 Dascalu A, Walker BN, Oron Y, David EO. Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms. J Cancer Res Clin Oncol 2021. [PMID: 34546412 DOI: 10.1007/s00432-021-03809-x] [Reference Citation Analysis]
40 Habgood E, Mccormack C, Walter FM, Emery JD. Patients’ Experiences of Using Skin Self-monitoring Apps With People at Higher Risk of Melanoma: Qualitative Study. JMIR Dermatol 2021;4:e22583. [DOI: 10.2196/22583] [Reference Citation Analysis]
41 Bientzle M, Restle A, Kimmerle J. Perception of Purposeful and Recreational Smartphone Use in Physiotherapy: Randomized Controlled Trial. JMIR Mhealth Uhealth 2021;9:e25717. [PMID: 33881402 DOI: 10.2196/25717] [Reference Citation Analysis]
42 Roseleur J, Gonzalez-Chica DA, Emery J, Stocks NP. Skin checks and skin cancer diagnosis in Australian general practice before and during the COVID-19 pandemic, 2011-2020. Br J Dermatol 2021;185:853-5. [PMID: 34009666 DOI: 10.1111/bjd.20494] [Reference Citation Analysis]
43 Charalambides M, Flohr C, Bahadoran P, Matin RN. New international reporting guidelines for clinical trials evaluating effectiveness of artificial intelligence interventions in dermatology: strengthening the SPIRIT of robust trial reporting. Br J Dermatol 2021;184:381-3. [PMID: 33666954 DOI: 10.1111/bjd.19616] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]