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  • 2019-01-11

Deep learning as triage system for critical findings in head CT scans

Radiologists read scans in the first-in-first-out (FIFO) order or based on the'stat'marker based on clinical indications. This might be suboptimal because scans with critical findings might be on bottom of the work list. Artificial intelligence (AI)/deep learining algorithms have been built which can detect scans with emergency findings like hemorrhages. midline shift or fracture [1, 2] from head CT scans. If these algorithms are used to preread the head CT scans and prioritize scans with critical findings, it can lead to an improvement in turn around time for critical scans. In this study, we demonstrate that such an reordering of radiologist work-list will improve read times in a simulated environment.

Link to complete publication here: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=dqpMNRUAAAAJ&cstart=20&pagesize=80&citation_for_view=dqpMNRUAAAAJ:YsMSGLbcyi4C

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