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Tool May Detect Invisible Brain Damage in College Athletes

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Sohae-chung
Yao-wang
Dmitry-novikov
Junbo-chen
Yvonne-lui
Els-fieremans
Tianhao-li
Department-of-radiology
Tandon-school-of-engineering
Grossman-school-of-medicine
Department-of-defense
National-institute-of-health

AI can accurately identify changes in brain structure related to head injury in student athletes

An artificial intelligence computer program that processes magnetic resonance imaging (MRI) can accurately identify changes in brain structure that result from repeated head injury, a new study in student athletes shows.

Els-fieremans
Junbo-chen
Sohae-chung
Megan-craig
Yvonne-lui
Tianhao-li
Yao-wang
Dmitry-novikov
Grossman-school-of-medicine
Tandon-school-of-engineering
Department-of-radiology
National-institute-of-health

Artificial intelligence tool uses chest X-ray to differentiate worst cases of COVID-19

 E-Mail IMAGE: CAPTION Chest X-ray from patient severely ill from COVID-19, showing (in white patches) infected tissue spread across the lungs view more  Credit: CREDIT Courtesy of Nature Publishing or npj Digital Medicine Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study finds. Developed by researchers at NYU Grossman School of Medicine, the program used several hundred gigabytes of data gleaned from 5,224 chest X-rays taken from 2,943 seriously ill patients infected with SARS-CoV-2, the virus behind the infections.

Nan-wu
Ben-zhang
Krzysztof-geras
Yvonne-lui
Abu-dhabi
Carlos-fernandez-granda
David-kudlowitz
William-moore
Farah-shamout
Yindalon-aphinyanaphongs
Aakash-kaku

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