A simple selfie can hold hidden clues in the biological era.
That’s according to researchers at Mass General Brigham, who developed a deep learning algorithm called Faceage.
Using a photo of someone’s face, Artificial Intelligence Tools Generate predictions of subject biological age. This is the rate at which we are aging, in contrast to time series.
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Faceage also predicts survival outcomes Cancer personaccording to a press release from MGB.
A simple selfie can hold hidden clues in the biological era. (istock)
The AI tool was trained with 58,851 photos of “Estimating Healthy Individuals from Public Data Sets,” the release says.
To test the accuracy of the tool, researchers used it to analyze photos of 6,196 cancer patients previously taken Radiation therapy treatment.
Among people with cancer, the tool produced a biological age about five years older than chronological order.
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Researchers also tested the capabilities of predictive tools Average life expectancy We compared it with predictions from 10 clinicians out of 100 people receiving palliative care based on the photographs. The face was found to be more accurate than the clinician’s predictions.
The researcher’s findings were published in Lancet Digital Health.
General Mass Brigham developed a deep learning algorithm called Faceage. This generates predictions of subjects’ biological age from the photographs. (Mass General Brigham)
“An artificial intelligence can be used to estimate a person’s biological age from a photograph of their face. Our research shows that information is clinically meaningful,” says Dr. Hugo Aerts, director of the Artificial Intelligence (AIM) Program at Mass General Brigham’s Mass General Brigham.
“This work shows that photos, like simple selfies, contain important information that can help inform clinical decision-making and care plans. Patients and Clinicians“He continued.
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“It really matters how old someone looks when compared to chronological order. Individuals with faces younger than chronological order are significantly better after cancer therapy.”
The goal is that the tool helps eliminate biases that can affect physician care decisions based on patient appearance and age perceptions.
“In some survival predictions, faces may be better than clinicians, but rather than negating it, they should enhance human judgment.”
The researchers pointed out that More research Required before deploying the tool for clinical use.
Future research includes various hospitals and cancer patients at different stages of the disease, according to release. Researchers also assess Face’s ability to predict disease, general health and life expectancy.
To test the accuracy of the tool, the researchers used it to analyze photographs of 6,196 cancer patients taken prior to radiation therapy treatment. (istock)
“This opens the door to a whole new realm of biomarker discovery from photographs, and it goes far beyond that possibility. Cancer treatment Predict age,” said Ray Mack, Ray Mack, Maryland, faculty members of Mass General Brigham’s AIM program during the release.
“We consider various chronic diseases to be aging disease, so it’s even more important to be able to accurately predict the trajectory of an individual’s aging. Ultimately, we hope that we can use this technology in a variety of applications within a strong regulatory and ethical framework to save lives.”
AI er doctor
Dr. Harvey Castro, a board-certified emergency medical doctor on artificial intelligence and national speaker based in Dallas, Texas, was not involved in the development of Faceage, but shared his comments on the tool.
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“As an emergency physician and an AI futurist, I see both the promise and the dangers of AI tools like Faceage,” he told Fox News Digital.
“What excites me is that the face constitutes a clinical instinct called an “eye test.” Machine Learning Its evaluation can be quantified with incredibly accurate. ”
Among people with cancer, the tool produced a biological age about five years older than chronological order. (istock)
Castro predicts that the facial helps doctors better personalize treatment plans or prioritize palliative care in oncology.
However, doctors emphasized that attention is important.
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“AI models are as good as the data they are trained,” Castro said. “If training data is not diverse, there is a risk of biased results.”
“In some survival predictions, faces may be better than clinicians, but rather than negating it, they should enhance human judgment.”
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Castro also warned of potential ethical concerns.
“Who owns facial data? How is it stored? Do patients understand what is being analyzed? These questions are just as important as the technology itself,” he said.
“AI can enhance our care, but it cannot replace the empathy, context, and humanity that defines medicine.” (istock)
There is also a Psychological impact Castro pointed out.
“When you say “older” than your age, it can affect your treatment decisions and self-awareness in ways we don’t fully understand,” he said.
“We need clear consent, data privacy and sensitivity. No one wants to be told by them. Getting old No context. ”
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According to Castro, the conclusion is that AI can enhance doctors’ judgments, but it cannot replace them.
“AI can enhance our care, but it cannot replace the empathy, context, and humanity that defines medicine.”
