Japanese AI Tool Predicts Health Age

River D'Almeida, Ph.D
3 min readAug 22, 2023

It also detects chronic disease risks from chest scans

Photo by Alexander Sinn on Unsplash

In a groundbreaking development, researchers at Osaka Metropolitan University in Japan have harnessed the power of artificial intelligence to predict a person’s chronological age and shed light on potential risks for chronic diseases through the examination of chest radiographs. This innovative approach not only holds the potential to redefine health assessment but also presents a significant stride towards personalized medicine. The team’s findings have been documented in a recent article published in The Lancet Healthy Longevity, marking a pivotal moment in the field of healthcare.

Accurate Chronological Age Prediction

The concept of chronological age, denoting a person’s actual years on this planet, is a fundamental parameter in health evaluation. However, the innovative tool devised by the Japanese researchers takes this assessment to new heights. The technology utilizes a sophisticated deep learning network, meticulously trained on a diverse dataset comprising chest radiographs collected from numerous institutions. With data from approximately 67,000 individuals, this network demonstrates remarkable accuracy in deciphering an individual’s chronological age from the intricate details present in chest scans.

--

--

River D'Almeida, Ph.D
River D'Almeida, Ph.D

Written by River D'Almeida, Ph.D

Follow me for bite-sized stories on the latest discoveries and innovations in biomedical research.