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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.
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 ...
AI in mental health is still an emerging field and there are still some concerns and criticisms about the use of AI in this area, such as: Lack of data: There is a lack of data available to train AI systems, which limits their ability to accurately identify patterns in mental health conditions and predict outcomes. [22]
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.
AI can revolutionize public health surveillance and response by addressing the core challenges in this field. Public health surveillance heavily relies on data to detect health anomalies and ...
"AI is the latest discovery in computer science, how to use computers to focus on learning concepts with almost unlimited applications not only in health care, but industry," she said. "We can ...
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