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artificial intelligence in healthcare

Unlike many stroke detection applications on the market, this model covers six vascular territories and mechanisms of infarct. 

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Unlike other artificial intelligence tools, Merlin was built with many tasks in mind, and researchers believe its capabilities could be further expanded—with some fine-tuning. 

Stanford and Rad Partners recently developed a structured, pre-deployment method for assessing radiology AI models, detailing their work in the American Journal of Roentgenology. 

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In January, the Department of Education released a proposed rule seeking to simplify federal student loan repayment, including "commonsense loan caps" and "streamlining repayment options." 

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Findings from the study provide new insight into the heterogeneity of the disorder, which could help explain why some children seem to respond better to common treatments than others.

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The deal is expected to be finalized later this month once customary closing conditions are met. 

Around the web

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.

A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.