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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis
Distributed learning enables collaborative machine learning model training without requiring
cross-institutional data sharing, thereby addressing privacy concerns. However, local quality …
cross-institutional data sharing, thereby addressing privacy concerns. However, local quality …