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

• Main Authors: Maron, Roman C (Author), Utikal, Jochen S (Author), Hekler, Achim (Author), Hauschild, Axel (Author), Sattler, Elke (Author), Sondermann, Wiebke (Author), Haferkamp, Sebastian (Author), Schilling, Bastian (Author), Heppt, Markus V (Author), Jansen, Philipp (Author), Reinholz, Markus (Author), Franklin, Cindy (Author), Schmitt, Laurenz (Author), Hartmann, Daniela (Author), Krieghoff-Henning, Eva (Author), Schmitt, Max (Author), Weichenthal, Michael (Author), von Kalle, Christof (Author), Fröhling, Stefan (Author), Brinker, Titus J (Author)
• Format: Book
• Published: JMIR Publications, 2020-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundEarly detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that these algorithms should assist a dermatologist's...