2023-08-21 20:36:26
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However, this system will not work on residents of the CIS
In the near future, the expression “look your age” will refer not to the face, but to the chest. Japanese scientists at Osaka Capital University have developed an advanced artificial intelligence (AI) model that uses chest x-rays to accurately estimate a patient’s chronological age.
It all started when a research team led by graduate student Yasuhito Mitsuyama and Dr. Daiju Ueda from the Department of Diagnostic and Interventional Radiology built an artificial intelligence model based on deep learning. AI training took place on the proposed chest X-rays of tens of thousands of people and their age data. As a teaching tool, the artificial intelligence “learned” 67,099 chest radiographs of healthy people, and then people with various diseases, such as hypertension and chronic obstructive pulmonary disease (34,197 radiographs).
As a result, the “brain” of artificial intelligence worked in such a way that it began to give more years than in the passport to those people who were more likely to develop certain diseases.
“Our results show that apparent age based on chest x-ray can accurately reflect health beyond chronological age,” says Yasuhito Mitsuyama. “We aim to develop this study to evaluate life expectancy and predict possible complications.”
Commentary of the radiologist, candidate of medical sciences Viktor Gombolevsky:
“This is far from the first work that determines the age of a patient using artificial intelligence to evaluate a particular organ. Because the symptoms of diseases (many of which are signs of aging) really affect our internal organs. Recently, for example, AI has been trained to predict diabetes mellitus from x-rays. It is wonderful that such technologies are emerging that, overtaking the capabilities of people, can quickly prevent a large number of diseases in the future, preventing them from developing. However, I want to note that the system trained on Japanese patients will not work, or it will work with a large number of errors on immigrants, for example, from the CIS countries. Firstly, we differ in growth, eating habits, for example, we eat more meat, not seafood, like the inhabitants of the land of the rising sun.
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