AI can now predict a cancer patient’s risk of dying from a photograph of his or her face. According to an article in Scientific American, scientists trained AI to estimate people’s biological ages and to predict cancer patients’ odds of survival.
In a test group of 3,820 cancer patients, more than half of
those with the highest risk score—as calculated by AI—died within just 90 days of
when their photographs were taken. In a separate test group that included more
than 38,000 cancer patients, those whose faces looked older than their
chronological age also had a higher risk of dying.
For biological age, the giveaways tended to be parts of the
forehead and the crease between the nose and mouth. For risk-of-death
predictions, AI tended to focus on the bridge of the nose and on areas below
the eyes. Unfortunately, the article noted, “It’s unclear why those areas
specifically correlated with a person’s risk of death.” The article also did
not describe or illustrate the specific characteristics of those facial areas that
led to the predictions.
In the photos, it didn’t matter if a photograph showed a
person frowning or smiling, with or without makeup, or in various kinds of lighting.
For age prediction, AI was even able to account for common forms of plastic
surgery, except for rhinoplasty. In that case, AI tended to rate people who’d
had a nose job as slightly older in images taken after the surgery compared
with images taken before it. Interesting!
The purpose of this technology is to provide an “extra data point
in doctors’ decision making.” Right now, it’s just an idea. Maybe not such a
good one.
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