A study recently published in the journal Scientific Reports could bring us a step closer to that capability.
The paper reveals how artificial intelligence analyses of routine medical scans could be turned into powerful predictors of a person’s health and risk of death.
For the study, researchers used a machine learning algorithm to analyse routine chest CT scans from 48 adults, all of whom were over 60 years of age.
By comparing data between the scans, the system was able to predict the chances that study participants would die within five years with about 70 per cent accuracy — about as accurate as mortality predictions by a human expert, according to the study.
Chest scans are excellent ways to measure health because they allow doctors to see key organs and tissues like the heart, lungs, and major blood vessels, among other things.
The most immediate application of this AI technology is that it could theoretically analyse more routine chest CT scan data and provide risk calculations without a human expert taking the time to go through each scan.