AI predicts lung cancer risk
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a study published in the journal Radiology.
May 18, 2021
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An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a study published in the journal Radiology.
May 18, 2021
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According to an open-access Editor's Choice article in ARRS' American Journal of Roentgenology (AJR), CT features may help identify which patients with stage IA non-small cell lung cancer are optimal candidates for sublobar ...
May 13, 2021
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A machine learning-based tool was able to predict the risk of malignancy among patients presenting with multiple pulmonary nodules and outperformed human experts, previously validated mathematical models, and a previously ...
Feb 24, 2021
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A new expert panel consensus statement published simultaneously today in the journals Radiology: Imaging Cancer, Chest and the Journal of the American College of Radiology provides guidance to clinicians managing lung cancer ...
Apr 23, 2020
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Radiologists assisted by deep-learning based software were better able to detect malignant lung cancers on chest X-rays, according to research published in the journal Radiology.
Nov 12, 2019
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Kentucky has the highest rate of lung cancer in the country, and is the leading cause of cancer-related death in the United States. It claims more lives each year than breast, prostate and colorectal cancers combined. With ...
Sep 4, 2019
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A risk prediction model developed using clinical and radiological features could stratify individuals presenting with a lung nodule as having high or low risk for lung cancer.
Jun 27, 2019
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Lung cancer is the leading cause of cancer deaths worldwide. Screening is key for early detection and increased survival, but the current method has a 96 percent false positive rate. Using machine learning, researchers at ...
Mar 13, 2019
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(HealthDay)—An integrated plasma proteomics classifier, which integrates the relative abundance of two plasma proteins with a clinical risk prediction model, can distinguish benign from malignant lung nodules in those at ...
Oct 9, 2018
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Every year, health care providers in the United States discover more than 1.6 million lung nodules in patients. Many are "incidentally detected," meaning they are found during evaluation for an unrelated cause (for example, ...
Apr 17, 2018
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