AI has made an impact—but its revolution may not be imminent
Artificial intelligence (AI) continues to change the way radiologists work. The major shift predicted by many isn’t happening as quickly as expected—but AI is reaching areas some didn’t anticipate.
Some prognosticators underestimate the complexity of radiology, believing machine learning could predict diagnosis in a manner similar to a radiologist who integrate patient history and clinical concerns, according to a story in the Columbus CEO.
AI has already impacted radiology workflows, reporting and detection of specific diagnoses, said Vikram Krishnasetty, MD, with Columbus Radiology, a large practice in Ohio.
Startup AI companies in radiology have joined the excitement, with many exploring ways to translate images into complete diagnoses, but the AI revolution experts have discussed may still be far off.
“We can tackle one drop in the ocean at a time and make improvements, but you may be asking when are we going to take on the entire ocean?” said Luciano Prevedello, chief of the imaging informatics division at the Ohio State University Wexner Medical Center. “That’s a very valid point. We are still learning how to analyze and be comfortable with one single drop, let alone the entire ocean.”
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Matt joined Chicago’s TriMed team in 2018 covering all areas of health imaging after two years reporting on the hospital field. He holds a bachelor’s in English from UIC, and enjoys a good cup of coffee and an interesting documentary.