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Key Points Question Can an artificial intelligence (AI) engine used concurrently improve reader performance when reporting chest radiographs? Findings In this cohort study involving 497 chest radiographs and 6 readers,… Click to show full abstract
Key Points Question Can an artificial intelligence (AI) engine used concurrently improve reader performance when reporting chest radiographs? Findings In this cohort study involving 497 chest radiographs and 6 readers, the area under the receiver operating characteristic curve and reporting times improved when readers used AI during the interpretation. The improvement was significant for pneumothorax and nodule detection, and sensitivities of readers improved significantly for all findings when using AI. Meaning These findings suggest that readers’ performance in evaluating chest radiographs is improved by AI use.
Journal Title: JAMA Network Open
Year Published: 2022
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