aceFoundation artificial intelligence models for health recognition by use of face photographs (FAHR-Face): a model development and validation study
Background: Facial appearance offers a non-invasive window into health. We built Foundation Artificial Intelligence for Health Recognition-Face (FAHR-Face), a foundation model trained on more than 40 million facial photographs and fine-tuned it for two distinct tasks: biological age estimation (FAHR-FaceAge) and survival prediction (FAHR-FaceSurvival). Methods: FAHR-FaceAge underwent two-stage, age-balanced fine-tuning on ten public image datasets; FAHR-FaceSurvival was fine-tuned on 34 363 photographs of patien…
A face-photo AI model estimated age with a 5.1-year mean absolute error, and its survival model separated cancer patients by mortality risk, adding prognostic information.
Evidence
- Peer-reviewedThe Lancet Digital Health2027-06-16
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Truvace Impact Record TRV-2026-1971, v1: “Foundation artificial intelligence models for health recognition by use of face photographs (FAHR-Face): a model development and validation study.” Truvace, 2026-10-20. /record/TRV-2026-1971 (accessed at citation time). sha256 b9d827fe78a94303…
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