FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

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Publication Details

Journal
The Lancet Digital Health
Published
2025-05-09
DOI
https://doi.org/10.1016/j.landig.2025.03.002
Citations
21
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
26.80

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article

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

Hugo J.W.L. Aerts, Benjamin Haibe‐Kains, André Dekker, Charles Swanton et al.
21 citations
The Lancet Digital Health
Face recognition and analysis
26.80
article

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

Hugo J.W.L. Aerts, Benjamin Haibe‐Kains, André Dekker, Charles Swanton, Benjamin H. Kann, Jack M. Qian, Tracy Anne Balboni, Dennis Bontempi, Danielle S. Bitterman, Laura Warren, Dirk De Ruysscher, Derek Shyr, Raymond H. Mak, Osbert C. Zalay, Fridolin Haugg, Nicolai J. Birkbak, Subha Perni, Hannah Johnson Roberts, Suraj Pai, Vasco Prudente, Monica Krishan, Christian V. Guthier
article en
21 citations

Abstract

No abstract available for this paper.
The Lancet Digital HealthVol. 7(6)
Brigham and Women's Hospital (US), Harvard University (US), Maastricht University Medical Centre (NL), Aarhus University Hospital (DK), Princess Margaret Cancer Centre (CA), Maastricht University (NL), Dana-Farber Cancer Institute (US), CRUK Lung Cancer Centre of Excellence (GB), Maastro Clinic (NL), Dana-Farber Brigham Cancer Center (US), University College London (GB)
National Institutes of Health, H2020 European Research Council
Openalex Percentile: Top 0%
Face recognition and analysis
26.80
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