Evaluating FDA-Approved AI Algorithms for Detecting Acute Pulmonary Embolism in CT Pulmonary Angiography: A Meta-Analysis of Real-World Retrospective Studies – Cureus

The study titled “Performance of FDA-Approved AI Algorithms in Detecting Acute Pulmonary Embolism on Computed Tomographic Pulmonary Angiography (CTPA): A Meta-Analysis of Real-World Retrospective Studies” evaluates the efficacy of FDA-approved AI algorithms for identifying acute pulmonary embolism (PE) in CTPA scans. By consolidating data from various retrospective studies, the meta-analysis aims to assess the algorithms’ accuracy, sensitivity, and specificity in real-world settings. Results indicate that these AI models demonstrate promising performance in detecting PE, potentially enhancing diagnostic efficiency and reducing the burden on radiologists. The findings underscore the role of AI in medical imaging, promoting better patient outcomes through timely and accurate diagnosis. This research highlights the integration of AI technologies in clinical practice, paving the way for future advancements in pulmonary embolism detection. Overall, the study emphasizes the need for continued research on AI applications in radiology to refine and validate diagnostic tools.

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