International evaluation of an AI system for breast cancer screening
2020 · Nature · 2,923 citations
https://doi.org/10.1038/s41586-019-1799-6
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Jeffrey De Fauw
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Jeffrey De Fauw is an academic researcher from Hôpital Necker-Enfants Malades. The author has contributed to research in topics: Retinal Imaging and Analysis & Radiomics and Machine Learning in Medical Imaging & AI in cancer detection. The author has an h-index of 18, co-authored 19 publications.
ORCID: 0000-0001-6971-5678Papers by this author
worksClinically applicable deep learning for diagnosis and referral in retinal disease
2018 · Nature Medicine · 2,512 citations
https://doi.org/10.1038/s41591-018-0107-6
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
2021 · Journal of Medical Internet Research · 320 citations
https://doi.org/10.2196/26151
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
2020 · Nature Medicine · 249 citations
https://doi.org/10.1038/s41591-020-0941-1
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