A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis
María Paz Salinas(Pontificia Universidad Católica de Chile), Cristián Navarrete‐Dechent(Pontificia Universidad Católica de Chile), Dominga Peirano(Pontificia Universidad Católica de Chile), Juan Briones(Pontificia Universidad Católica de Chile), Macarena Morel-Marambio(Pontificia Universidad Católica de Chile), Javiera Sepúlveda(Pontificia Universidad Católica de Chile), Veronica Rotemberg(Memorial Sloan Kettering Cancer Center), Leonel Hidalgo(Pontificia Universidad Católica de Chile), Pablo Uribe(Pontificia Universidad Católica de Chile), Domingo Mery(Pontificia Universidad Católica de Chile)
Cited by 116
Related Papers
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
|arXiv (Cornell University)|2019|990
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
BCN20000: Dermoscopic Lesions in the Wild
|UPCommons institutional repository (Universitat Politècnica de Catalunya)|2019|294
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
|European Journal of Cancer|2021|246