AI Tool 'FaceAge' Predicts Biological Age and Cancer Outcomes from Facial Photos
18 Sources
[1]
AI tool uses face photos to estimate biological age and predict cancer outcomes
"We can use artificial intelligence (AI) to estimate a person's biological age from face pictures, and our study shows that information can be clinically meaningful," said co-senior and corresponding author Hugo Aerts, PhD, director of the Artificial Intelligence in Medicine (AIM) program at Mass
[2]
Scientists use AI facial analysis to predict cancer survival outcomes
Scientists have used artificial intelligence analysis of the faces of cancer patients to predict survival outcomes and in some cases outperform clinicians' short-term life expectancy forecasts. The researchers used a deep learning algorithm to measure the biological age of subjects and found that
[3]
AI tool uses facial images to predict biological age and cancer survival
Mass General BrighamMay 8 2025 Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called FaceAge that uses a photo of a person's face to predict biological
[4]
AI can tell how old your body really is and how quickly you're aging using just a selfie
A new AI model can deduce a person's biological age using a selfie. Could it be used to guide cancer treatment decisions? A new artificial intelligence (AI) model can predict a person's biological age -- the state of their body and how they're aging -- from a selfie. The model, dubbed FaceAge,
[5]
AI Tool Reads Faces to Predict Health, Aging, and Cancer Outcomes - Neuroscience News
Summary: Researchers have developed an AI tool called FaceAge that uses facial photos to estimate biological age and predict survival outcomes in cancer patients. In a study involving over 6,000 patients, those with cancer had FaceAges about five years older than their chronological age, and higher
[6]
AI tool uses face photos to estimate biological age and predict cancer outcomes
Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called "FaceAge" that uses a photo of a person's face to predict biological age and survival outcomes for
[7]
Scientists Are Developing a Tool to Measure Biological Age With a Photo
Sign up for the Well newsletter, for Times subscribers only. Essential news and guidance to live your healthiest life. Get it with a Times subscription. It's no secret that some people appear to age faster than others, especially after enduring stressful periods. But some scientists think a
[8]
AI tool uses selfies to predict biological age and cancer survival
Doctors often start exams with the so-called "eyeball test" -- a snap judgment about whether the patient appears older or younger than their age, which can influence key medical decisions. That intuitive assessment may soon get an AI upgrade. FaceAge, a deep learning algorithm described Thursday
[9]
New AI tool predicts your biological age from a selfie
Our faces suggest our true age and even how much time we may have left on Earth. While doctors learn to form a picture of a patient's health from their face, using what they call "the eyeball test," new research in the Lancet Digital Health indicates that this may be a job that artificial
[10]
AI tool can analyze selfies to predict cancer risk - Earth.com
A new study shows that an algorithm can look at an ordinary photograph and estimate how fast a body is aging - an insight that could change the nature of cancer care. The research was led by a team of scientists from Mass General Brigham, who constructed FaceAge, an AI tool. The experts trained
[11]
FaceAge: the AI tool that can tell your biological age through one photo
What if a simple selfie was enough to show scientifically how well or badly we're ageing? That moment's getting closer ... So, it will tell me when I'll die? No thanks. Wait, I haven't even explained it yet. Doesn't matter, it's still the most terrifying thing I've ever heard. No, give it a
[12]
Selfies can be used to predict cancer patients' survival rate
Selfies could predict a person's chance of surviving cancer, a study has suggested. Doctors believe a new artificial intelligence tool that measures the "biological age" of a patient based on a photo of their face, could inform the type of cancer treatment they receive. Knowing someone's
[13]
Scientists Claim AI Can Tell Cancer Patients Their Odds of Living by Looking At Their Selfies
Some of us look old for our age, while others look younger. These differences, though, may not just be superficial. Our appearances, youthful or seasoned, could actually be an accurate reflection of what scientists call our "biological age," a form of measuring someone's age by the health of their
[14]
AI tool uses selfies to predict biological age and cancer survival
Washington (AFP) - Doctors often start exams with the so-called "eyeball test" -- a snap judgment about whether the patient appears older or younger than their age, which can influence key medical decisions. That intuitive assessment may soon get an AI upgrade. FaceAge, a deep learning algorithm
[15]
Scientists develop tool to predict biological age using just a selfie
The tool has some limitations, but could eventually be used to help predict health outcomes, the researchers said. It's no secret that people age at different rates, with stress, smoking, genetics, and other factors all making themselves plain on our faces. Now, a new tool powered by artificial
[16]
Can a photograph reveal your biological age?
It's no secret that some people appear to age faster than others, especially after enduring stressful periods. But some scientists think a person's physical appearance could reveal more about them than meets the eye -- down to the health of their tissues and cells, a concept known as "biological
[17]
New AI tool predicts your biological age from a selfie
Our faces suggest our true age and even how much time we may have left on Earth. While doctors learn to form a picture of a patient's health from their face, using what they call "the eyeball test," new research in the Lancet Digital Health indicates that this may be a job that artificial
[18]
AI System Can Predict Cancer Survival Prognosis Better Than Doctors, Researchers Say | PYMNTS.com
FaceAge improved doctors' accuracy in predicting six-month survival for terminally ill patients. It is often a heart-stopping moment for patients when they hear their doctor's prognosis that they have cancer. For late-stage cancers, especially, the question that often arises is, "How long do I
Share
Copy Link
Researchers at Mass General Brigham have developed an AI tool called FaceAge that can estimate a person's biological age from facial photographs and predict survival outcomes for cancer patients, potentially aiding in clinical decision-making.
AI Tool Estimates Biological Age from Facial Photos
Researchers at Mass General Brigham have developed an innovative AI tool called FaceAge that can estimate a person's biological age from facial photographs. This deep learning algorithm has shown promising results in predicting survival outcomes for cancer patients, potentially revolutionizing clinical decision-making
1
2
.How FaceAge Works
FaceAge was trained on 58,851 photos of presumed healthy individuals from public datasets. The algorithm leverages deep learning and facial recognition technologies to analyze facial features and estimate biological age
1
3
.Key Findings
- Cancer patients, on average, had a FaceAge about five years older than their chronological age
1
2
3
. - Higher FaceAge predictions were associated with worse overall survival outcomes across multiple cancer types
1
3
. - FaceAge outperformed clinicians in predicting short-term life expectancy for patients receiving palliative radiotherapy
1
4
.
Implications for Cancer Care
The tool could potentially help physicians make more informed decisions about treatment plans for cancer patients. By providing an objective measure of biological age, FaceAge may assist in tailoring the intensity of treatments like radiation and chemotherapy to individual patients
4
5
.Limitations and Future Research
While promising, FaceAge is not yet ready for clinical use. The researchers acknowledge several limitations:
- The training dataset may not be fully representative of the general population
4
. - Factors like plastic surgery, lifestyle differences, and digitally retouched images may affect results
4
. - Further studies are needed to understand how these factors impact FaceAge estimations
4
.
The research team is conducting follow-up studies to expand the work across different hospitals, examine patients at various cancer stages, and track FaceAge estimates over time
1
3
.Related Stories
Ethical Considerations
The researchers emphasize the need for ethical guidelines surrounding the use of FaceAge information. Concerns include potential misuse by health or life insurance providers in making coverage decisions
4
5
.Broader Applications
Beyond cancer care, the technology shows potential for predicting diseases, general health status, and lifespan. Researchers hope to eventually use this technology as an early detection system for various health conditions, within a strong regulatory and ethical framework
1
3
5
.As this technology continues to develop, it could open new doors in precision medicine, offering a non-invasive method to assess biological age and health status. However, further research and careful consideration of ethical implications will be crucial before implementing such tools in clinical settings.
References
Summarized by
Navi
[4]
Related Stories
AI analyzes facial aging to predict cancer survival, revealing how treatment accelerates biological age
28 Apr 2026•Health
AI Model Predicts Biological Age Using Steroid Pathways in Blood Samples
16 Mar 2025•Science and Research
AI Model Revolutionizes Brain Aging Detection and Cognitive Decline Prediction
25 Feb 2025•Science and Research
Recent Highlights
1
AI Leaders Warn UN Security Council of Existential Risks, Call for Global AI Governance
Policy and Regulation
2
AI Hallucination Nearly Sparked US Military Confrontation With Chinese Ship in Middle East
Technology
3
OpenAI AI Agent Hacks Australian Government Healthcare Website in First-of-Its-Kind Breach
Technology
Recent Highlights
Today's Top Stories
Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Follow topics that matter to you and stay ahead.
