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Improving Skin Cancer Diagnostics Through a Mobile App With a Large Interactive Image Repository: Randomized Controlled Trial

Improving Skin Cancer Diagnostics Through a Mobile App With a Large Interactive Image Repository: Randomized Controlled Trial

Participants’ responses on the questionnaire regarding experience with skin cancer diagnostics including use of and thoughts about dermoscopy. a P value derived from a chi-square or Fisher exact test. b"ABCDE” is the acronym for Asymmetry, Boarder, Color, Diameter, and Evolution or Elevation, a commonly used acronym in diagnosing melanoma without the use of a dermoscope. c"Ugly Duckling” is a technique widely used to evaluate if a lesion is suspicious from a patient’s other nevi. d"Dermoscopic Pattern Recognition

Gustav Gede Nervil, Niels Kvorning Ternov, Tine Vestergaard, Henrik Sølvsten, Annette Hougaard Chakera, Martin Grønnebæk Tolsgaard, Lisbet Rosenkrantz Hölmich

JMIR Dermatol 2023;6:e48357

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

The set of images used for the evaluation consisted of 1200 unique dermoscopic images split into 12 nonoverlapping individual test sets containing 100 images each (50 melanomas and 50 nevi). Each individual set was randomly assigned to exactly one dermatologist who diagnosed his/her set twice—first without AI support (part I) and afterwards with AI support (part II).

Roman C Josef Maron, Jochen S Utikal, Achim Hekler, Axel Hauschild, Elke Sattler, Wiebke Sondermann, Sebastian Haferkamp, Bastian Schilling, Markus V Heppt, Philipp Jansen, Markus Reinholz, Cindy Franklin, Laurenz Schmitt, Daniela Hartmann, Eva Krieghoff-Henning, Max Schmitt, Michael Weichenthal, Christof von Kalle, Stefan Fröhling, Titus J Brinker

J Med Internet Res 2020;22(9):e18091