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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.
AI is already widespread in health care. Algorithms are used to predict patients' risk of death or deterioration, to suggest diagnoses or triage patients, to record and summarize visits to save ...
While the healthcare sector has lagged the market — the S&P Health Care Equipment index is down 6% this year, compared to the broader index's 24% gain — that may soon change.
A Pew Research poll found that 6 in 10 U.S. adults would feel uncomfortable if their own health care provider relied on artificial intelligence (AI) to diagnose disease and recommend treatments ...
The scale and capabilities of artificial intelligence (AI) systems are growing rapidly, notably due to advances in big data. In healthcare, it is expected to provide easier accessibility of information, and to improve treatments while reducing cost. The integration of AI in healthcare tends to improve the quality and efficiency of complex tasks.
AI in healthcare is often used for classification, to evaluate a CT scan or electrocardiogram or to identify high-risk patients for population health. AI is helping with the high-cost problem of dosing. One study suggested that AI could save $16 billion.
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