Published on in Vol 22, No 9 (2020): September
![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](https://asset.jmir.pub/assets/9354dc18c30db8a7deac04c6fe25a683.png 480w,https://asset.jmir.pub/assets/9354dc18c30db8a7deac04c6fe25a683.png 960w,https://asset.jmir.pub/assets/9354dc18c30db8a7deac04c6fe25a683.png 1920w,https://asset.jmir.pub/assets/9354dc18c30db8a7deac04c6fe25a683.png 2500w)
1 Digital Biomarkers for Oncology Group (DBO), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
2 Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
3 Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, University of Heidelberg, Heidelberg, Germany
4 Department of Dermatology, University Hospital Kiel, University of Kiel, Kiel, Germany
5 Department of Dermatology, University Hospital Munich (LMU), Munich, Germany
6 Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
7 Department of Dermatology, University Hospital Regensburg, Regensburg, Germany
8 Department of Dermatology, University Hospital Würzburg, University of Würzburg, Würzburg, Germany
9 Department of Dermatology, University Hospital Erlangen, University of Erlangen, Erlangen, Germany
10 Department of Dermatology, University Hospital Cologne, Cologne, Germany
11 Department of Dermatology, University Hospital Aachen, Aachen, Germany
12 Department of Clinical-Translational Sciences, Charité University Medicine and Berlin Institute of Health (BIH), Berlin, Germany
13 National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany