![]() The present study reports on a comparison between two of the most popular MR head-mounted displays, Magic. Augmented reality (AR) and virtual reality (VR) interfaces can bring advantages in various medical-health sectors it is thus not surprising that the medical MR market is among the fastest-growing ones. The adoption of extended reality solutions is growing rapidly in the healthcare world. Combining the closed-line and heat map methods for visualizing AI-CAD results led to the highest sensitivity and accuracy of radiologists. The methods for visualizing AI-CAD results for chest radiographs influenced the performance of radiologists’ interpretations. Detection rates using the heat map method (p = 0.043) and the combined method (p = 0.004) are significantly higher than those using the closed-line method. The sensitivity (p = 0.007) and accuracy (p = 0.037) of the combined method are significantly higher than that of the closed-line method. Examination-level sensitivity and accuracy, and lesion-level detection rates for clinically significant abnormalities were evaluated for the three visualization methods. ![]() In each session, the chest radiographs were interpreted using AI-CAD with one of the three visualization methods in random order. A reader test was conducted with five trainee radiologists over three interpretation sessions. A commercialized AI-CAD using three different methods of visualizing was applied: (a) closed-line method, (b) heat map method, and (c) combined method. ![]() Initial chest radiographs of patients with acute respiratory. We aimed to evaluate the accuracy of radiologists’ interpretations of chest radiographs using different visualization methods for the same AI-CAD. It is unclear whether the visualization methods for artificial-intelligence-based computer-aided detection (AI-CAD) of chest radiographs influence the accuracy of readers’ interpretation.
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