AI for Good: A selfie health assessment |
Source: ChatGPT 4o Image Generation |
| Hospitals already snap a photo of you when you arrive, now FaceAge turns that into new data for doctors. Trained on more than 58,000 “healthy” faces and tested on 6,000 cancer patients, the deep-learning system estimates biological age – how old a body seems, not how many birthdays it’s had. Across three independent cancer cohorts, every extra decade FaceAge estimated in age raised the risk of death 11-15%. In palliative patients, plugging FaceAge into a standard survival model lifted predictive accuracy from 0.74 to 0.80 AUC (Area Under the ROC Curve), roughly the jump clinicians get from a CT scan to a PET scan. |
| Why it matters: Oncologists often rely on gut feeling to judge whether a patient is healthy enough for chemotherapy. FaceAge brings objectivity to that judgment, turning a patient’s appearance into a quantifiable, clinically useful score. |
| How it works: |
| Face Detection: A neural network identifies and processes the face from a standard photograph.Biological Age Estimation: An Inception-ResNet model predicts a patient’s biological age with a 4-year margin of error for seniors. Clinical Forecasting: The score feeds existing risk tools, boosting accuracy by up to six percentage points. Genetic Correlation: It also tracks closely with senescence-related genes, suggesting it taps into real molecular aging processes. |
| Zoom in: Training images lean toward public figures, so broader, representative datasets are essential to curb demographic bias. A prognostic tool that guides therapy must clear rigorous validation and full transparency. Without firm policy, insurers or employers could weaponize “age-in-face” scores; guardrails need to be in place before deployment. |
| The big picture: FaceAge shows how AI can repurpose everyday data for health – what heart-rate sensors did for watches, facial analytics might do for cameras. If larger trials confirm the findings and equity concerns are addressed, the next time you visit the doctor, biological age may be a standard metric produced as part of your checkup “chronological age: 51; biological (FaceAge): 38”, and treatment plans might shift accordingly. |
-
Archives
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- March 2015
- January 2015
-
Meta
AI for Good: A selfie health assessment
Source: ChatGPT 4o Image Generation