A team of AI and medical specialists working with or for Google Research and Google DeepMind, has developed an AI based system designed to judge the confidence level of existing AI systems used for analyzing medical scans ...
According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound significantly improved ...
May 24, 2023
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An optimized artificial intelligence (AI) strategy can reduce diagnostic time-based costs for senior radiologists, while the traditional all-AI strategy seems more beneficial for junior radiologists, according to a study ...
May 22, 2023
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"Hindsight is 20/20," one often hears in the context of a tendency to evaluate past choices more clearly in light of new information. But the perfect "20/20" score, referring to a measure of visual acuity, acknowledges a ...
May 19, 2023
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Online workflow systems for off-site radiologists are one reason for health care delays that cost hospitals money and test the patience of patients, according to new West Virginia University research.
May 16, 2023
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Incorrect advice by an AI-based decision support system could seriously impair the performance of radiologists at every level of expertise when reading mammograms, according to a new study published in Radiology.
May 2, 2023
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Artificial intelligence (AI) may help clinicians diagnose tuberculosis in parts of the world where radiologists are scarce, a new study suggests.
Apr 18, 2023
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According to an article in American Journal of Roentgenology (AJR), a worklist reprioritization tool with artificial intelligence reduced both report turnaround time and wait time for pulmonary embolus-positive CT pulmonary ...
Apr 5, 2023
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According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), sentiment of U.S. newspaper articles covering lung cancer screening (LCS) from 2010 to 2022 was overall positive; however, ...
Mar 15, 2023
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An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology.
Mar 7, 2023
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