Swedish researchers tested the Dermalyser AI smartphone app across 36 primary care centers from May to December 2022, evaluating 253 suspicious skin lesions in 228 patients.

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Barrister Peter Mant KC stated at the Lampard Inquiry that clinical effectiveness claims made by Oxevision manufacturer Lio Health were based on unverified anecdotes and unbacked by statistical evidence.

Essex Partnership University NHS Foundation Trust spent a net total of £4.3 million on Oxevision installation, software fees, and staff training between 2020 and 2025.

Mass General Brigham radiation oncologist Dr. Raymond Mak stated that the AI facial tools aim to quantify patient physical reserve and frailty to support personalized treatment decisions.

The FAHR-FaceAge tool estimates a patient's biological age from a photo, while FAHR-FaceSurvival predicts cancer survival outcomes directly from a facial photograph.

Mass General Brigham researchers developed FAHR-Face, an artificial intelligence foundation model that powers two medical prediction tools called FAHR-FaceAge and FAHR-FaceSurvival.

Researchers trained and validated the FAHR-Face survival prediction tools using photographs of over 30,000 cancer patients with known medical outcomes.

The deployment of the AI triage device reduced routine dermatology follow-up appointments from 27% under standard teledermatology down to 12%.

In the Swedish primary care trial, the Dermalyser app achieved an overall area under the ROC curve of 0.960 with 95.2% sensitivity and 84.5% specificity for distinguishing melanoma.

Use of the AI medical device lowered patient biopsy rates to between 26% and 29%, compared to 43% under standard face-to-face dermatological care.

Researchers deployed the autonomous AI device in December 2024 and July 2025 at two National Health Service hospital sites in the United Kingdom, managing 8,391 patients.

An autonomous artificial intelligence device successfully managed 94% of urgent suspected skin cancer referrals during a 16-month study conducted across two U.K. hospital sites.

In the U.K. hospital study, the AI device demonstrated sensitivity for malignancy exceeding 97% across all skin cancer types and achieved a specificity of 72.1%.

Researchers estimated that integrating the AI medical device resulted in a 62% increase in overall clinical capacity for dermatologists.

The AI triage device safely discharged 31% and 25% of benign skin cancer cases without clinician review at the two U.K. hospital sites.

The implementation of the AI device saved approximately 2,850 hours of clinician time, equivalent to over 8,500 face-to-face dermatology consultations.

The FAHR-FaceAge tool demonstrated biological age estimation correlation scores across racial groups of 0.86 for White, 0.81 for Black, 0.86 for Asian, and 0.91 for Hispanic individuals.

FAHR-FaceAge and FAHR-FaceSurvival yield weakly correlated predictions, and combining both measures improved survival-model fit in external validation testing.

Colon and rectal surgery expert Dr. Grace Lee stated that the FaceSurvival tool provides a standardized method to quantify clinicians' intuitive visual assessments of patient frailty.

Mass General Brigham researchers filed a patent application for the FaceSurvival artificial intelligence tool.

Researchers validated the FAHR-FaceSurvival prediction model in an external cohort of nearly 4,900 cancer patients in the Netherlands.