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Citing this Article

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Published on 13.04.18 in Vol 20, No 4 (2018): April

This paper is in the following e-collection/theme issue:

Works citing "Use of Smartphones for Early Detection of Melanoma: Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9392):

(note that this is only a small subset of citations)

  1. Allaert FA, Legrand L, Abdoul Carime N, Quantin C. Will applications on smartphones allow a generalization of telemedicine?. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  2. Mancera N, Smalley KS, Margo CE. Melanoma of the eyelid and periocular skin: Histopathologic classification and molecular pathology. Survey of Ophthalmology 2019;64(3):272
    CrossRef
  3. Coricovac D, Dehelean C, Moaca E, Pinzaru I, Bratu T, Navolan D, Boruga O. Cutaneous Melanoma—A Long Road from Experimental Models to Clinical Outcome: A Review. International Journal of Molecular Sciences 2018;19(6):1566
    CrossRef
  4. Mar V, Soyer H. Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?. Annals of Oncology 2018;29(8):1625
    CrossRef
  5. Martin A, Guitera P. Teledermatology for Skin Cancer: The Australian Experience. Current Dermatology Reports 2020;9(1):43
    CrossRef
  6. Arkwright BT, Leslie M, Light M. Telehealth Finance Variables and Successful Business Models. Telehealth and Medicine Today 2019;3
    CrossRef
  7. Chung Y, van der Sande A, de Roos K, Bekkenk M, de Haas E, Kelleners‐Smeets N, Kukutsch N. Poor agreement between the automated risk assessment of a smartphone application for skin cancer detection and the rating by dermatologists. Journal of the European Academy of Dermatology and Venereology 2020;34(2):274
    CrossRef
  8. Udrea A, Mitra G, Costea D, Noels E, Wakkee M, Siegel D, de Carvalho T, Nijsten T. Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms. Journal of the European Academy of Dermatology and Venereology 2020;34(3):648
    CrossRef
  9. Hampton P, Richardson D, Brown S, Goodhead C, Montague K, Olivier P. Usability testing of MySkinSelfie: a mobile phone application for skin self‐monitoring. Clinical and Experimental Dermatology 2020;45(1):73
    CrossRef
  10. Papachristou I, Bosanquet N. Improving the prevention and diagnosis of melanoma on a national scale: A comparative study of performance in the United Kingdom and Australia. Journal of Public Health Policy 2020;41(1):28
    CrossRef
  11. Kaliyadan F, Ashique K. Use of mobile applications in dermatology. Indian Journal of Dermatology 2020;65(5):371
    CrossRef
  12. Davis LE, Shalin SC, Tackett AJ. Current state of melanoma diagnosis and treatment. Cancer Biology & Therapy 2019;20(11):1366
    CrossRef
  13. Fried L, Tan A, Bajaj S, Liebman TN, Polsky D, Stein JA. Technological advances for the detection of melanoma. Journal of the American Academy of Dermatology 2020;83(4):983
    CrossRef
  14. Xiong M, Pfau J, Young AT, Wei ML. Artificial Intelligence in Teledermatology. Current Dermatology Reports 2019;8(3):85
    CrossRef
  15. Bergeron D, Iorio-Morin C, Bigder M, Dakson A, Eagles ME, Elliott CA, Honey CM, Kameda-Smith MM, Persad AR, Touchette CJ, Tso MK, Fortin D. Mobile Applications in Neurosurgery: A Systematic Review, Quality Audit, and Survey of Canadian Neurosurgery Residents. World Neurosurgery 2019;127:e1026
    CrossRef
  16. Andrees V, Klein T, Augustin M, Otten M. Live interactive teledermatology compared to in‐person care – a systematic review. Journal of the European Academy of Dermatology and Venereology 2020;34(4):733
    CrossRef
  17. 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. Telemedicine and e-Health 2020;26(11):1406
    CrossRef
  18. Abbott LM, Miller R, Janda M, Bennett H, Taylor ML, Arnold C, Shumack S, Soyer HP, Caffery LJ. A review of literature supporting the development of practice guidelines for teledermatology in Australia. Australasian Journal of Dermatology 2020;61(2)
    CrossRef
  19. Janda M, Horsham C, Vagenas D, Loescher LJ, Gillespie N, Koh U, Curiel-Lewandrowski C, Hofmann-Wellenhof R, Halpern A, Whiteman DC, Whitty JA, Smithers BM, Soyer HP. Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial. The Lancet Digital Health 2020;2(3):e129
    CrossRef
  20. 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;:m127
    CrossRef
  21. Chan S, Reddy V, Myers B, Thibodeaux Q, Brownstone N, Liao W. Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations. Dermatology and Therapy 2020;10(3):365
    CrossRef
  22. Tiffany B, Blasi P, Catz SL, McClure JB. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432
    CrossRef
  23. Zhang W, Li Z, Li Z. WeChat as a Platform for Problem-Based Learning in a Dental Practical Clerkship: Feasibility Study. Journal of Medical Internet Research 2019;21(3):e12127
    CrossRef
  24. Buabbas AJ, Sharma P, Al-Abdulrazaq A, Shehab H. Smartphone use by government dermatology practitioners in Kuwait: a self-reported questionnaire based cross-sectional study. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  25. Hogarty DT, Su JC, Phan K, Attia M, Hossny M, Nahavandi S, Lenane P, Moloney FJ, Yazdabadi A. Artificial Intelligence in Dermatology—Where We Are and the Way to the Future: A Review. American Journal of Clinical Dermatology 2020;21(1):41
    CrossRef
  26. Alves J, Moreira D, Alves P, Rosado L, Vasconcelos M. Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. Sensors 2019;19(22):4957
    CrossRef
  27. Sola-Ortigosa J, Muñoz-Santos C, Guilabert-Vidal A. Papel de la teledermatología en el diagnóstico precoz del melanoma. Piel 2020;35(4):265
    CrossRef
  28. Tong ST, Sopory P. Does integral affect influence intentions to use artificial intelligence for skin cancer screening? A test of the affect heuristic. Psychology & Health 2019;34(7):828
    CrossRef
  29. Rubagumya F, Nyagabona SK, Longombe AN, Manirakiza A, Ngowi J, Maniragaba T, Sabushimike D, Urusaro S, Ndoli DA, Dharsee N, Mwaiselage J, Mavura D, Hanna TP, Hammad N. Feasibility Study of a Smartphone Application for Detecting Skin Cancers in People With Albinism. JCO Global Oncology 2020;(6):1370
    CrossRef
  30. Mar V, Soyer H. Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?. Annals of Oncology 2019;30(12):e1
    CrossRef
  31. Grau-Corral I, Gascon P, Grajales III FJ, Kostov B, Sisó Almirall A. Availability of Spanish-Language Medical Apps in Google Play and the App Store: Retrospective Descriptive Analysis Using Google Tools. JMIR mHealth and uHealth 2020;8(12):e17139
    CrossRef
  32. 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 and uHealth 2020;8(12):e22478
    CrossRef
  33. Uppal SK, Beer J, Hadeler E, Gitlow H, Nouri K. The clinical utility of teledermoscopy in the era of telemedicine. Dermatologic Therapy 2021;34(2)
    CrossRef
  34. Bientzle M, Restle A, Kimmerle J. Perception of Purposeful and Recreational Smartphone Use in Physiotherapy: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e25717
    CrossRef
  35. Lee KJ, Betz-Stablein B, Stark MS, Janda M, McInerney-Leo AM, Caffery LJ, Gillespie N, Yanes T, Soyer HP. The Future of Precision Prevention for Advanced Melanoma. Frontiers in Medicine 2022;8
    CrossRef
  36. Liu C, Ding X, Wei C, Pei Y, Meng F, Zhong Y, Liu Y. LncRNA LNCOC1 is Upregulated in Melanoma and Serves as a Potential Regulatory Target of miR-124 to Suppress Cancer Cell Invasion and Migration. Clinical, Cosmetic and Investigational Dermatology 2022;Volume 15:751
    CrossRef
  37. Oroz A, Bokun Z, Lazović B, Čukić O, Valjarević S. Rare malignant skin tumours of the head and neck. Sanamed 2018;13(3):287
    CrossRef
  38. Lee C, Witkowski A, Żychowska M, Ludzik J. The role of mobile teledermoscopy in skin cancer triage and management during the COVID-19 pandemic. Indian Journal of Dermatology, Venereology and Leprology 2022;89:347
    CrossRef
  39. Alonso-Belmonte C, Montero-Vilchez T, Arias-Santiago S, Buendía-Eisman A. [Translated article] Current State of Skin Cancer Prevention: A Systematic Review. Actas Dermo-Sifiliográficas 2022;113(8):T781
    CrossRef
  40. Herault T, Donio V, Courouve L, Caillard J. Expérimentation de la télé-expertise en cardiologie en Pays de la Loire. Santé Publique 2020;Vol. 31(6):789
    CrossRef
  41. Rodriguez‐Acevedo AJ, O'Hara M, Koh U, Betz‐Stablein B, Horsham C, Soyer HP, Janda M. Can people take high‐quality images using mobile dermatoscopes at home on easy‐to‐see and difficult‐to‐see body areas?. Journal of the European Academy of Dermatology and Venereology 2023;37(2)
    CrossRef
  42. Teufel A, Binder H. Clinical Decision Support Systems. Visceral Medicine 2021;37(6):491
    CrossRef
  43. Kapeller A, Loosman I. Empowerment through health self-testing apps? Revisiting empowerment as a process. Medicine, Health Care and Philosophy 2023;26(1):143
    CrossRef
  44. YALÇIN T, TANDİROVİC GÜRSEL A. Improving Digital Image Quality for Convolution Neural Network Based Computer-Aided Diagnosis (CNN-CAD) of Skin Cancer. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 2021;36(4):1099
    CrossRef
  45. Sommer J, Torre AC, Bibiloni N, Plazzotta F, Vázquez Peña F, Terrasa SA, Boietti B, Bruchanski L, Mazzuoccolo L, Luna D. Telemedicina: validación de un cuestionario para evaluar la experiencia de los profesionales de la salud. Revista Panamericana de Salud Pública 2022;46:1
    CrossRef
  46. Sun MD, Kentley J, Wilson BW, Soyer HP, Curiel‐Lewandrowski CN, Rotemberg V, Halpern AC. Digital skin imaging applications, part I: Assessment of image acquisition technique features. Skin Research and Technology 2022;28(4):623
    CrossRef
  47. Alonso-Belmonte C, Montero-Vilchez T, Arias-Santiago S, Buendía-Eisman A. Situación actual de la prevención del cáncer de piel: una revisión sistemática. Actas Dermo-Sifiliográficas 2022;113(8):781
    CrossRef
  48. Jones L, Jameson M, Oakley A. Remote Skin Cancer Diagnosis: Adding Images to Electronic Referrals Is More Efficient Than Wait-Listing for a Nurse-Led Imaging Clinic. Cancers 2021;13(22):5828
    CrossRef
  49. Jiang SW, Flynn MS, Kwock JT, Nicholas MW. Store-and-Forward Images in Teledermatology: Narrative Literature Review. JMIR Dermatology 2022;5(3):e37517
    CrossRef
  50. Liopyris K, Gregoriou S, Dias J, Stratigos AJ. Artificial Intelligence in Dermatology: Challenges and Perspectives. Dermatology and Therapy 2022;12(12):2637
    CrossRef
  51. Horsham C, Snoswell C, Vagenas D, Loescher L, Gillespie N, Soyer H, Janda M. Is Teledermoscopy Ready to Replace Face-to-Face Examinations for the Early Detection of Skin Cancer? Consumer Views, Technology Acceptance, and Satisfaction with Care. Dermatology 2020;236(2):90
    CrossRef
  52. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano MDP, Solvoll T, Granja C, Schopf TR, Callico GM, Soguero-Ruiz C, Wägner AM. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030
    CrossRef
  53. Shaffer KM, Turner KL, Siwik C, Gonzalez BD, Upasani R, Glazer JV, Ferguson RJ, Joshua C, Low CA. Digital health and telehealth in cancer care: a scoping review of reviews. The Lancet Digital Health 2023;5(5):e316
    CrossRef
  54. . The Twenty Factors that Made Teledermatology Consultation a Matured Application: A Systematic Review. Clinical Dermatology Review 2023;7(1):10
    CrossRef
  55. Thaker NG, De B, Shah C, Manda S, Royce TJ, Beriwal S. Practical Applications of the Internet of Things in Radiation Oncology. Applied Radiation Oncology 2022;
    CrossRef
  56. Gellatly ZS, Lagha IB, Ternov NK, Berry E, Nelson KC, Seiverling EV. The Role of Dermoscopy in Provider-to-Provider Store-and-Forward Dermatology eConsults: A Scoping Review of the Recent Literature. Current Dermatology Reports 2023;12(4):169
    CrossRef
  57. Sakharkar D, Jain A, Parakh A, Khandelwal RR. Smartphone-Based Identification of Different Tissue Cells. IEEE Sensors Letters 2023;7(10):1
    CrossRef
  58. Capocasale G, Perno G, Nocini R, Albanese M, Zotti F. Role of telemedicine and smartphone for distant patient management in dentistry: The new way of triage. Journal of International Society of Preventive and Community Dentistry 2020;10(3):376
    CrossRef
  59. Ren X, Jiang Q, Zeng Y, Wang L. Chitosan Nanoparticles as Next Generation of Drug Carriers for Melanoma Treatment: A Review. Journal of Biomedical Nanotechnology 2023;19(9):1503
    CrossRef
  60. . Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones. JMIR mHealth and uHealth 2024;12:e48803
    CrossRef
  61. Mwageni N, van Wijk R, Daba F, Mamo E, Debelo K, Jansen B, Schoenmakers A, van Hees CLM, Kasang C, Mieras L, Mshana SE. The NLR SkinApp: Testing a Supporting mHealth Tool for Frontline Health Workers Performing Skin Screening in Ethiopia and Tanzania. Tropical Medicine and Infectious Disease 2024;9(1):18
    CrossRef
  62. Härkönen H, Lakoma S, Verho A, Torkki P, Leskelä R, Pennanen P, Laukka E, Jansson M. Impact of digital services on healthcare and social welfare: An umbrella review. International Journal of Nursing Studies 2024;152:104692
    CrossRef
  63. Strzelecki M, Kociołek M, Strąkowska M, Kozłowski M, Grzybowski A, Szczypiński PM. Artificial intelligence in the detection of skin cancer: State of the art. Clinics in Dermatology 2024;
    CrossRef
  64. Hartmann T, Passauer J, Hartmann J, Schmidberger L, Kneilling M, Volc S. Basic principles of artificial intelligence in dermatology explained using melanoma. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(3):339
    CrossRef
  65. Hartmann T, Passauer J, Hartmann J, Schmidberger L, Kneilling M, Volc S. Grundprinzipien der künstlichen Intelligenz in der Dermatologie erklärt am Beispiel des Melanoms. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(3):339
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9392):

  1. Curiel-Lewandrowski C, Novoa RA, Berry E, Celebi ME, Codella N, Giuste F, Gutman D, Halpern A, Leachman S, Liu Y, Liu Y, Reiter O, Tschandl P. Melanoma. 2019. Chapter 43-1:1
    CrossRef
  2. Curiel-Lewandrowski C, Novoa RA, Berry E, Celebi ME, Codella N, Giuste F, Gutman D, Halpern A, Leachman S, Liu Y, Liu Y, Reiter O, Tschandl P. Melanoma. 2019. Chapter 43:599
    CrossRef
  3. Arkwright BT, Nash ML, Light ME. Telemedicine. 2021. Chapter 3:33
    CrossRef
  4. Vasconcelos MJM, Moreira D, Alves P, Graça R, Franco R, Rosado L. Biomedical Engineering Systems and Technologies. 2022. Chapter 9:158
    CrossRef
  5. Tsagkaris AS, Nelis JL, Campbell K, Elliott CT, Pulkrabova J, Hajslova J. Microfluidic Biosensors. 2023. :233
    CrossRef
  6. Khani Jeihooni A, Afzali Harsini P, Imani G, Hamzehie S. Melanoma - Standard of Care, Challenges, and Updates in Clinical Research. 2023. Chapter 1
    CrossRef
  7. Lyakhova UA, Bondarenko DN, Boyarskaya EE, Nagornov NN. Current Problems in Applied Mathematics and Computer Science and Systems. 2023. Chapter 39:401
    CrossRef
  8. . Teledermatology. 2023. Chapter 16:147
    CrossRef