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Artificial Intelligence Tool Improves Accuracy of Breast Cancer Imaging

Artificial Intelligence Tool Improves Accuracy of Breast Cancer Imaging
itnonline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from itnonline.com Daily Mail and Mail on Sunday newspapers.

New York , United States , Nan Wu , Cathy Tyma , Alana Lewin , Reyhan Mohammed , Krzysztof Geras , Chloe Chhor , Stacey Wolfson , Kawshik Kannan , Farah Shamout , Naziya Samreen , Linda Moy , Sheila Kumari Subaiya , Jamie Oliver , Jaime Altabet , Cindy Lee , Christopher Moczulski , Laura Heacock , Beatriu Reig , Stacey Gandhi , Robin Ehrenpreis , Jan Witowski , Cindy Leonard , Connor Huddleston , Yiming Gao ,

New AI Tool-Based Advancement in Breast Cancer Imaging

New AI Tool-Based Advancement in Breast Cancer Imaging
azorobotics.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from azorobotics.com Daily Mail and Mail on Sunday newspapers.

New York , United States , Nan Wu , Alex Smith , Cathy Tyma , Alana Lewin , Reyhan Mohammed , Chloe Chhor , Krzysztofj Geras , Stacey Wolfson , Kawshik Kannan , Farah Shamout , Naziya Samreen , Linda Moy , Jamie Oliver , Jaime Altabet , Cindy Lee , Christopher Moczulski , Laura Heacock , Beatriu Reig , Stacey Gandhi , Robin Ehrenpreis , Jan Witowski , Cindy Leonard , Connor Huddleston , Sheila Kumari Subaiya ,

AI Program Quickly Predicts Which Patients with COVID-19 Might have Lethal Complications


AI Program Quickly Predicts Which Patients with COVID-19 Might have Lethal Complications
Written by AZoRoboticsMay 13 2021
A new study has found that a computer program trained to observe patterns by examining thousands of chest X-rays estimated, with up to 80% precision, which patients with coronavirus disease (COVID-19) would develop fatal complications within 4 days.
Chest X-ray from patient severely ill from COVID-19, showing (in white patches) infected tissue spread across the lungs. Image Credit: Courtesy of Nature Publishing or npj Digital Medicine.
The program developed by scientists at NYU Grossman School of Medicine made use of several hundred gigabytes of data gleaned from 5,224 chest X-rays obtained from 2,943 severely ill patients infected with SARS-CoV-2, the virus responsible for the infections. ....

Nan Wu , Yindalon Aphinyanaphongs , Aakash Kaku , Stanislaw Jastrzebski , Ben Zhang , Narjes Sharif Razavian , Yvonnew Lui , Carlos Fernandez Granda , Krzysztofj Geras , David Kudlowitz , Farah Shamout , Lea Azour , Siddhant Dogra , Williamh Moore , Yiqiu Artie Shen , Department Of Radiology , Grossman School Of Medicine , Study Co , National Institutes Of Health , York University , National Science Foundation , Nature Publishing , Digital Medicine , Study Co Lead Investigator , Assistant Professor , Computer Engineering ,