Radiology Business May 15, 2024
An artificial intelligence model for ankle stress radiography could potentially reduce radiologists’ workload by an average of 70%, according to a new study published Tuesday.
Interpreting such exams can be a “subjective and time-consuming task,” researchers detailed in Academic Radiology [1]. South Korean scientists aimed to address this challenge by training an AI model that can efficiently screen for negative cases on X-rays.
The technology is showing early promise, reducing radiologists’ hypothetical workload by 69% or more for anterior drawer tests (used to diagnose ACL tears) and 58% or more for talar tilt tests (assessing ankle stability).
“Despite its shortcomings, ankle stress radiography remains a routine imaging tool for patients with ankle pain or instability,” Seungeun Lee, MD, with the...
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