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

Crowdsourcing and Mechanical Turks (98) Games and Gamification for Health (650) Gamification (128) Serious Games for Health and Medicine (683)

Published on in Vol 22, No 1 (2020): January

Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study

Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study

Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study

Authors of this article:

Christoph Rinner1 Author Orcid Image ;   Harald Kittler2 Author Orcid Image ;   Cliff Rosendahl3 Author Orcid Image ;   Philipp Tschandl2 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Journals

  1. Tschandl P, Rinner C, Apalla Z, Argenziano G, Codella N, Halpern A, Janda M, Lallas A, Longo C, Malvehy J, Paoli J, Puig S, Rosendahl C, Soyer H, Zalaudek I, Kittler H. Human–computer collaboration for skin cancer recognition. Nature Medicine 2020;26(8):1229 View
  2. Ronzio L, Campagner A, Cabitza F, Gensini G. Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in Cardiology. Journal of Intelligence 2021;9(2):17 View
  3. Winkler J, Sies K, Fink C, Toberer F, Enk A, Abassi M, Fuchs T, Blum A, Stolz W, Coras‐Stepanek B, Cipic R, Guther S, Haenssle H. Collective human intelligence outperforms artificial intelligence in a skin lesion classification task. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2021;19(8):1178 View
  4. Winkler J, Sies K, Fink C, Toberer F, Enk A, Abassi M, Fuchs T, Blum A, Stolz W, Coras‐Stepanek B, Cipic R, Guther S, Haenssle H. Kollektive menschliche Intelligenz übertrifft künstliche Intelligenz in einem Quiz zur Klassifizierung von Hautläsionen. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2021;19(8):1178 View
  5. Winkler J, Haenssle H. Bilderkennung mittels künstlicher Intelligenz in der Hautkrebsdiagnostik. Die Dermatologie 2022;73(11):838 View
  6. Polesie S, Gillstedt M, Kittler H, Rinner C, Tschandl P, Paoli J. Assessment of melanoma thickness based on dermoscopy images: an open, web‐based, international, diagnostic study. Journal of the European Academy of Dermatology and Venereology 2022;36(11):2002 View
  7. Combalia M, Codella N, Rotemberg V, Carrera C, Dusza S, Gutman D, Helba B, Kittler H, Kurtansky N, Liopyris K, Marchetti M, Podlipnik S, Puig S, Rinner C, Tschandl P, Weber J, Halpern A, Malvehy J. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. The Lancet Digital Health 2022;4(5):e330 View
  8. Shi Y, Li J, Li S, Li Z, Zhang H, Wu Z, Wu Z. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World Journal of Clinical Cases 2022;10(12):3729 View
  9. Barrutia L, Vega-Gutiérrez J, Santamarina-Albertos A. Benefits, drawbacks, and challenges of social media use in dermatology: a systematic review. Journal of Dermatological Treatment 2022;33(6):2738 View
  10. Barata C, Rotemberg V, Codella N, Tschandl P, Rinner C, Akay B, Apalla Z, Argenziano G, Halpern A, Lallas A, Longo C, Malvehy J, Puig S, Rosendahl C, Soyer H, Zalaudek I, Kittler H. A reinforcement learning model for AI-based decision support in skin cancer. Nature Medicine 2023;29(8):1941 View
  11. Donoso F, Peirano D, Longo C, Apalla Z, Lallas A, Jaimes N, Navarrete-Dechent C. Gamified learning in dermatology and dermoscopy education: a paradigm shift. Clinical and Experimental Dermatology 2023;48(9):962 View
  12. Sherbino J, Sibbald M, Norman G, LoGiudice A, Keuhl A, Lee M, Monteiro S. Crowdsourcing a diagnosis? Exploring the accuracy of the size and type of group diagnosis: an experimental study. BMJ Quality & Safety 2024;33(12):790 View
  13. Lemes C, Germano da Silva A, Ribeiro D, Malinverni A. Challenges and solutions in FISH for formalin‐fixed paraffin‐embedded tissue: A scoping review. Microscopy Research and Technique 2024 View
  14. Nervil G, Ternov N, Lorentzen H, Kromann C, Ingvar Å, Nielsen K, Tolsgaard M, Vestergaard T, Hölmich L. Teledermoscopic triage of melanoma-suspicious skin lesions is safe: A retrospective comparative diagnostic accuracy study with multiple assessors. Journal of Telemedicine and Telecare 2024 View
  15. Donoso F, Peirano D, Agüero R, Longo C, Apalla Z, Lallas A, Jaimes N, Navarrete-Dechent C. Use of game-based learning strategies for dermatology and dermoscopy education: a cross-sectional survey of members of the International Dermoscopy Society. Clinical and Experimental Dermatology 2024 View