Current State of Dermatology Mobile Applications With Artificial Intelligence Features
Shannon Wongvibulsin(University of California, Los Angeles), Veronica Rotemberg(Memorial Sloan Kettering Cancer Center), Roxana Daneshjou(Stanford Medicine), Matthew J. Yan(University of California, Los Angeles), William S. Murphy(Harvard University), Vartan Pahalyants(New York University)
Cited by 54
Related Papers
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
|arXiv (Cornell University)|2019|990
The human c-myc oncogene: Structural consequences of translocation into the igh locus in Burkitt lymphoma
|Cell|1983|736
Translocations Among Antibody Genes in Human Cancer
|Science|1983|723
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
|JAMA Dermatology|2021|362
Large language models propagate race-based medicine
|npj Digital Medicine|2023|340