There’s an elusive innovation that would revolutionize medicine: a way to detect disease before it becomes obvious.
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 analyze 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 5 years with about 70% accuracy — about as accurate as mortality predictions by a human expert, according to the study. (The researchers used old data from patients who had already either survived or died within five years, which enabled them to verify the AI’s predictions.)
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. Experts usually use these images to check for biomarkers like tumors and to measure traits like the quantity of atherosclerotic …read more
Source:: Businessinsider – Technology