Generative AI in the era of 'alternative facts'
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MIT Open Publishing Services
Research
Although several clinical breast cancer risk models are used to guide screening and prevention, they have only moderate discrimination. The aim of this research study is to compare selected existing mammography artificial intelligence (AI) algorithms, including Mirai, a tool developed at the MIT Jameel Clinic by a team of researchers lead by Jameel Clinic AI Faculty Lead, Regina Barzilay, and the Breast Cancer Surveillance Consortium (BCSC) risk model for prediction of 5-year risk. Negative screening mammographic examinations were analysed with five artificial intelligence (AI) algorithms; all predicted breast cancer risk to 5 years better than the BCSC clinical risk model, and combining AI and BCSC models further improved prediction.
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MIT Open Publishing Services
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Harvard Business Review Press
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Arxiv
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Arxiv
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bioRxiv
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Nature
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Arxiv
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Pancreas
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Science
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Cell Systems
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Arxiv
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Radiological Society of North America
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Nature
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Arxiv
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Science Direct
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PNAS
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Nature
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Arxiv
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Journal of Clinical Oncology
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Proceedings of Machine Learning Research
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Dynamic Ideas
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Science
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Little, Brown and Company
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Arxiv
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Dynamic Ideas
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Advances in Neural Information Processing Systems
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International Journal of Computer Vision