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A recent study published in The Lancet Digital Health reviewed the use of artificial intelligence (AI) algorithms in clinical practice through randomized controlled trials (RCTs). The study found that the use of AI in healthcare has been increasing, with some studies suggesting that AI models can perform as well as or better than clinicians. However, most of these models have not been evaluated in real-world settings, creating uncertainty about potential risks. The study identified 86 unique RCTs related to various specialties, with gastroenterology, radiology, surgery, and cardiology being the most common. The majority of trials reported significant improvements in their primary endpoints, but further research is needed to understand the true effects and limitations of AI in healthcare.
By Dr. Tony Hoang4.6
99 ratings
A recent study published in The Lancet Digital Health reviewed the use of artificial intelligence (AI) algorithms in clinical practice through randomized controlled trials (RCTs). The study found that the use of AI in healthcare has been increasing, with some studies suggesting that AI models can perform as well as or better than clinicians. However, most of these models have not been evaluated in real-world settings, creating uncertainty about potential risks. The study identified 86 unique RCTs related to various specialties, with gastroenterology, radiology, surgery, and cardiology being the most common. The majority of trials reported significant improvements in their primary endpoints, but further research is needed to understand the true effects and limitations of AI in healthcare.

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