Radiology Business March 26, 2023
When used to flag anomalies in combined chest and musculoskeletal X-rays, imaging AI can relieve overstretched emergency radiology teams.
In the process, the software can reduce misdiagnosis rates, according to a study published online in the European Journal of Radiology Open [1].
Radiologist Alexandre Parpaleix, MD, PhD, and colleagues at Valenciennes General Hospital in France reviewed 1,772 cases of patients who received emergency X-rays of any body part except for spine, skull and abdomen.
The researchers had a senior MSK-specialized radiologist adjudicate 172 cases (9.7% of the sample) that had discordances between first reads from ED physicians and final reads from the radiology department.
The umpiring MSK radiologist had access to all relevant clinical records.
Meanwhile the team used commercially...
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