Radiologists using AI-based software in real clinical practice were better able to detect lung nodules on chest radiographs than radiologists using radiographs alone.
Radiologists using artificial intelligence -based software in real clinical practice were better able to detect lung nodules on chest radiographs than radiologists using radiographs alone, according to results from a large,. In the open-label study, a commercially available AI-based computer-aided diagnosis software algorithm was imbedded into the clinical workflow of a single center.
While various AI-based CAD systems have been shown as a second reader to substantially improve radiologists’ performance in prior studies, the research has been retrospective, potentially disease-enriched, and conducted under nonreal practice conditions or subject to other limitations. Evidence from prospective trials, especially from a health checkup population, has been lacking and is highly warranted, according to the researchers.
In addition to showing significantly higher detection rates for the main outcome and for malignant nodules, the AI and non-AI groups showed similar false-referral rates and positive-report rates . In their paper, the researchers concluded that:"In health checkup participants, artificial intelligence–based software improved the detection of actionable lung nodules on chest radiographs."by William F. Auffermann, MD, PhD, associate professor of radiology and imaging sciences at the University of Utah School of Medicine, Salt Lake City, affirmed this point.
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