Radiology is a monthly, peer reviewed, medical journal, owned and published by the Radiological Society of North America. The editor is Herbert Y. Kressel (Harvard Medical School). The focus of Radiology is research, and other investigations in clinical radiology, and related disciplines. Publishing formats are original research articles (3000 words), technical developments (2000), invited perspectives (2500) review articles (6500), special report, invited editorial, invited controversies, diagnoses with brief description of the case, solicited science to practice (commentary on a novel basic science investigation or technical development), letter to the editor, and book review. According to the Journal Citation Reports, Radiology has a 2009 impact factor of 6.341. In addition, the journal is indexed in the following databases:
In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study published in Radiology, a journal of the Radiological ...
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For patients with atrial fibrillation undergoing left atrial appendage occlusion (LAAO), high-grade hypoattenuation thickening (HAT) at follow-up computed tomography (CT) is associated with higher stroke risk, according to ...
Sep 13, 2023
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An advanced CT test can identify individuals with stable angina at a reduced risk of three-year adverse outcomes despite their having a high coronary artery calcium score, according to a study published in the journal Radiology.
Sep 12, 2023
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Another study is showing that artificial intelligence (AI) is as good as a specialist doctor in spotting breast cancer on a mammogram. But don't expect computers to take over the job from humans, experts say.
Sep 5, 2023
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Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. Results of their findings were ...
Sep 5, 2023
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Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology.
Aug 29, 2023
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A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts, according to a study published in Radiology, a journal ...
Aug 8, 2023
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Artificial intelligence (AI) can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, according to a study published in Radiology.
Jul 25, 2023
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New CT technology allows for a comprehensive, simultaneous evaluation of lung structure and function, something not possible with standard CT, according to a study published in Radiology, a journal of the Radiological Society ...
Jul 13, 2023
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Assistance from an artificial intelligence (AI) algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions, according ...
Jun 27, 2023
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