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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
Within the US, the FDA in 2017 cleared an AI medical imaging platform for clinical use as well as future devices. [283] A recent scoping review identified 18 equity issues with 15 strategies to address them to try to ensure that AI applications equitably meet the needs of the populations intended to benefit from them. [284]
1 the Road, the first novel marketed by an AI. [75] AlphaFold is a deep learning based system developed by DeepMind for prediction of protein structure. [76] Otter.ai is a speech-to-text synthesis and summary platform, which allows users to record online meetings as text. It additionally creates live captions during meetings.
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The United States Department of Health and Human Services (HHS) is a cabinet-level executive branch department of the U.S. federal government created to protect the health of the U.S. people and providing essential human services. Its motto is "Improving the health, safety, and well-being of America". [2]
Artificial intelligence can't replace human therapists, at least not yet. But optimists hope it can help fill in gaps that cause millions of Americans to go without any mental health treatment at all.
Federal and state governments, insurance companies and other large medical institutions are heavily promoting the adoption of electronic health records.The US Congress included a formula of both incentives (up to $44,000 per physician under Medicare, or up to $65,000 over six years under Medicaid) and penalties (i.e. decreased Medicare and Medicaid reimbursements to doctors who fail to use ...
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