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 artificial intelligence consideration


Artificial Intelligence Considerations for Femtech and Beyond – Lexology

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Incorporating artificial intelligence (AI), machine learning (ML), and software, Femtech is an emerging industry that is already changing medical…


Artificial Intelligence Considerations for Healthcare Leaders

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Note: The below article includes excerpts from the September 2018 Health Affairs article "Implementing and Scaling Artificial Intelligence Solutions: Considerations for Policy Makers and Decision Makers." The full article can be accessed through the Health Affairs Journal, and was developed in partnership with Eric Just, MS, from Health Catalyst; and Bruce L. Gillingham, MD, CPE, FAOA RADM, MC, USN, Rear Admiral in the US Navy. The New England Journal of Medicine, Harvard Business Review, and other publications, noted that Artificial Intelligence (AI) and machine learning can achieve breakthroughs in improving patient safety, health, and reducing waste. AI infers patterns, relationships, and rules directly from large volumes of data in ways that can exceed human cognitive capabilities. Today, opportunities for greater deployment of AI in health are made possible by increased electronic data availability from mobile devices, sensors, cameras, and electronic health records; faster data processing capabilities; and newly developed computing techniques.