Radiologists Spot Chest X-ray Abnormalities Better with Deep-Learning Detection
Excerpt from the Article:
Simultaneous use of a deep-learning based detection (DLD) system improves a radiologist’s accuracy in identifying major abnormalities on chest X-rays, a new study has found.
While the efficacy of artificial intelligence (AI) algorithms as a second reader has been well established in previous studies, providers included in those investigations have read scans sequentially. Interpreting images with computer-aided detection (CAD) and, then, without the tool introduces both reading order and recall bias, said a team from South Korea.
Instead, they said, radiologists were faster and more accurate with pinpointing abnormalities when they used CAD. The team published the results of their retrospective, randomized trial on March 23 in Radiology.
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