Ohio State researchers devise algorithm for detecting presence, urgency of 4 conditions
A team of Ohio State University radiologists have developed artificial intelligence (AI) that can not only analyze hundreds of CT scans within minutes, but can detect the presence and urgency of hemorrhages, masses, hydrocephalus and stroke, according to the university’s paper, the Lantern.
Luciano Prevedello, MD, MPH, co-led a study of more than 2,500 CT scans in an effort to develop an algorithm that could detect all four conditions. The finished product can read an image in about six seconds, he said.
Currently, clinicians tag scans as urgent if they feel a patient’s condition is critical—but that can lead to an oversaturation of critical cases all marked at a similar urgency. Prevedello said this AI could be a game-changer for standards of urgency and consistency in radiology.
“The software that we’ve developed might not be immediately implemented, but the concept of having artificial intelligence in our practices is not entirely new,” he told the Lantern. “It’s just getting more sophisticated.”
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After graduating from Indiana University-Bloomington with a bachelor’s in journalism, Anicka joined TriMed’s Chicago team in 2017 covering cardiology. Close to her heart is long-form journalism, Pilot G-2 pens, dark chocolate and her dog Harper Lee.