Radiology Business July 18, 2024
Artificial intelligence is demonstrating promise in its ability to reduce radiologists’ chest X-ray workload in an outpatient setting, according to a new large-scale study published July 12.
Scientists with Siemens Healthineers retrospectively tested the algorithm on radiographs from over 14,000 patients. Individuals were imaged at Zwanger-Pesiri Radiology LLP, an outpatient imaging center with multiple locations in the northeast U.S., between 2020 and 2022, according to research published in Academic Radiology [1].
The percentage of scans with no actionable findings was about 71%. And the “AI NAD Analyzer” correctly classified such “unremarkable” cases with a sensitivity of 29% and a yield of nearly 21%. Specificity (how well it can distinguish images with disease from those without) was nearly 99%, with...
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