The Promise and Drawbacks of Federated Learning for Dermatology AI
Author:
Affiliation:
1. Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
Publisher
American Medical Association (AMA)
Link
https://jamanetwork.com/journals/jamadermatology/articlepdf/2814693/jamadermatology_kose_2024_ed_230023_1710184576.82673.pdf
Reference11 articles.
1. Federated learning for decentralized artificial intelligence in melanoma diagnostics.;Haggenmüller;JAMA Dermatol
2. Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.;Daneshjou;JAMA Dermatol,2022
3. The MPATH-Dx reporting schema for melanocytic proliferations and melanoma.;Piepkorn;J Am Acad Dermatol,2014
4. Evaluation of the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) classification scheme for diagnosis of cutaneous melanocytic neoplasms: Results from the International Melanoma Pathology Study Group.;Lott;J Am Acad Dermatol,2016
5. Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.;Daneshjou;JAMA Dermatol,2021
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