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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9392, first published .
Use of Smartphones for Early Detection of Melanoma: Systematic Review

Use of Smartphones for Early Detection of Melanoma: Systematic Review

Use of Smartphones for Early Detection of Melanoma: Systematic Review

Journals

  1. Allaert F, 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) View
  2. Mancera N, Smalley K, Margo C. Melanoma of the eyelid and periocular skin: Histopathologic classification and molecular pathology. Survey of Ophthalmology 2019;64(3):272 View
  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 View
  4. Mar V, Soyer H. Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?. Annals of Oncology 2018;29(8):1625 View
  5. Martin A, Guitera P. Teledermatology for Skin Cancer: The Australian Experience. Current Dermatology Reports 2020;9(1):43 View
  6. Arkwright B, Leslie M, Light M. Telehealth Finance Variables and Successful Business Models. Telehealth and Medicine Today 2019;3 View
  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 View
  8. Udrea A, Mitra G, Costea D, Noels E, Wakkee M, Siegel D, 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 View
  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 View
  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 View
  11. Kaliyadan F, Ashique K. Use of mobile applications in dermatology. Indian Journal of Dermatology 2020;65(5):371 View
  12. Davis L, Shalin S, Tackett A. Current state of melanoma diagnosis and treatment. Cancer Biology & Therapy 2019;20(11):1366 View
  13. Fried L, Tan A, Bajaj S, Liebman T, Polsky D, Stein J. Technological advances for the detection of melanoma. Journal of the American Academy of Dermatology 2020;83(4):983 View
  14. Xiong M, Pfau J, Young A, Wei M. Artificial Intelligence in Teledermatology. Current Dermatology Reports 2019;8(3):85 View
  15. Bergeron D, Iorio-Morin C, Bigder M, Dakson A, Eagles M, Elliott C, Honey C, Kameda-Smith M, Persad A, Touchette C, Tso M, Fortin D. Mobile Applications in Neurosurgery: A Systematic Review, Quality Audit, and Survey of Canadian Neurosurgery Residents. World Neurosurgery 2019;127:e1026 View
  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 View
  17. Kho J, Gillespie N, Horsham C, Snoswell C, Vagenas D, Soyer H, Janda M. Skin Doctor Consultations Using Mobile Teledermoscopy: Exploring Virtual Care Business Models. Telemedicine and e-Health 2020;26(11):1406 View
  18. Abbott L, Miller R, Janda M, Bennett H, Taylor M, Arnold C, Shumack S, Soyer H, Caffery L. A review of literature supporting the development of practice guidelines for teledermatology in Australia. Australasian Journal of Dermatology 2020;61(2) View
  19. Janda M, Horsham C, Vagenas D, Loescher L, Gillespie N, Koh U, Curiel-Lewandrowski C, Hofmann-Wellenhof R, Halpern A, Whiteman D, Whitty J, Smithers B, Soyer H. 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 View
  20. Freeman K, Dinnes J, Chuchu N, Takwoingi Y, Bayliss S, Matin R, Jain A, Walter F, Williams H, Deeks J. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ 2020:m127 View
  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 View
  22. Tiffany B, Blasi P, Catz S, McClure J. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432 View
  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 View
  24. Buabbas A, 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) View
  25. Hogarty D, Su J, Phan K, Attia M, Hossny M, Nahavandi S, Lenane P, Moloney F, 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 View
  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 View
  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 View
  28. Tong S, 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 View
  29. Rubagumya F, Nyagabona S, Longombe A, Manirakiza A, Ngowi J, Maniragaba T, Sabushimike D, Urusaro S, Ndoli D, Dharsee N, Mwaiselage J, Mavura D, Hanna T, Hammad N. Feasibility Study of a Smartphone Application for Detecting Skin Cancers in People With Albinism. JCO Global Oncology 2020;(6):1370 View
  30. Mar V, Soyer H. Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?. Annals of Oncology 2019;30(12):e1 View
  31. Grau-Corral I, Gascon P, Grajales III F, 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 View
  32. Carrion C, Robles N, Sola-Morales O, Aymerich M, Ruiz Postigo J. Mobile Health Strategies to Tackle Skin Neglected Tropical Diseases With Recommendations From Innovative Experiences: Systematic Review. JMIR mHealth and uHealth 2020;8(12):e22478 View
  33. Uppal S, Beer J, Hadeler E, Gitlow H, Nouri K. The clinical utility of teledermoscopy in the era of telemedicine. Dermatologic Therapy 2021;34(2) View
  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 View

Books/Policy Documents

  1. Curiel-Lewandrowski C, Novoa R, Berry E, Celebi M, Codella N, Giuste F, Gutman D, Halpern A, Leachman S, Liu Y, Liu Y, Reiter O, Tschandl P. Melanoma. View
  2. Curiel-Lewandrowski C, Novoa R, Berry E, Celebi M, Codella N, Giuste F, Gutman D, Halpern A, Leachman S, Liu Y, Liu Y, Reiter O, Tschandl P. Melanoma. View
  3. Arkwright B, Nash M, Light M. Telemedicine. View