Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives 2.
To … To evaluate the performance of AI in identifying breast cancer in a clinical setting, this study deployed AI in a curated, representative data set from the UK (25,856 women) and an enriched dataset from the US (3,097 women), as well as compared the … Here we present an AI system capable of surpassing a single expert reader in breast cancer prediction performance.
Using two large data sets representative of clinical practice in the United States (US) and the United Kingdom (UK), we show an absolute reduction of 5.7%/1.2% (US/UK) in false positives and 9.4%/2.7% (US/UK) in false negatives. Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. Nature 577, 89–94 (2020) doi:10.1038/s41586-019-1799-6
“AI shows promise for breast cancer screening” (Nature 577, 35-36 (2020)) McKinney, S.M., Sieniek, M., Godbole, V. et al. Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives 2. Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. International evaluation of an AI system for breast cancer screening - NASA/ADS Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful
1. Research has found that artificial intelligence (AI) can improve diagnostic accuracy, but less is known about its performance in clinical settings.
Read the paper: International evaluation of an AI system for breast cancer screening Despite some limitations, McKinney and colleagues’ study is …
International evaluation of an AI system for breast cancer screening.
International evaluation of an AI system for breast cancer screening. An artificial intelligence (AI) system capable of surpassing expert radiologists in the ability to detect breast cancer is reported in a paper published in Nature this week. screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives2.
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