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Penn State York students, faculty and staff recognized at awards ceremony

Penn State York students, faculty and staff recognized at awards ceremony
psu.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from psu.edu Daily Mail and Mail on Sunday newspapers.

Jazmink Wallace , Justin Irizarry , Michael Kern , Rebeccaa Mauck , Sadie Schantz , Lance Fishel , Cairar Whitney , Alexanderl Kurtz , Garyl Collison , Kavyaa Shah , Amber Majeske , Madelinee Riek , Josephines Walker , Gabrielj Ragland , Shanee Hulbert , Kimaya Mayuresh Khandke , Charlieo Keller , Jacob Mosholder , Hannahe Knight , Devin Taylor , Joelm Burkholder , Ryana Wentz , Joshuam Moran , Jessec Martin , Erica Walker , Alexw Roppelt ,

Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events

Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events
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 , Tel Aviv , Columbia University , Yale University , Sacred Heart Medical Center , Beer Sheba , Tejas Parekh , Joanna Liang , Piotr Slomka , Los Angeles , Robert Miller , Andrew Einstein , Serge Van Kriekinge , Sharmila Dorbala , Yuka Otaki , Timothy Bateman , Wei Chih Chun , Edward Miller , Ananya Singh , Albert Sinusas , Damini Dey , Daniel Berman , Philipp Kaufmann , Paul Kavanagh , Department Of Radiology ,

Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events

Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

New York , United States , Tel Aviv , Columbia University , Yale University , Sacred Heart Medical Center , Beer Sheba , Tejas Parekh , Joanna Liang , Piotr Slomka , Los Angeles , Robert Miller , Andrew Einstein , Serge Van Kriekinge , Sharmila Dorbala , Yuka Otaki , Timothy Bateman , Wei Chih Chun , Edward Miller , Ananya Singh , Albert Sinusas , Damini Dey , Daniel Berman , Philipp Kaufmann , Paul Kavanagh , Department Of Radiology ,

Deep learning with SPECT accurately predicts major adverse cardiac events

An advanced artificial intelligence technique known as deep learning can predict major adverse cardiac events more accurately than current standard imaging protocols, according to research presented at the Society of Nuclear Medicine and Molecular Imaging 2021 Annual Meeting. Utilizing data from a registry of more than 20,000 patients, researchers developed a novel deep learning network that has the potential to provide patients with an individualized prediction of their annualized risk for adverse events. ....

New York , United States , Tel Aviv , Columbia University , Yale University , Sacred Heart Medical Center , Beer Sheba , Tejas Parekh , Joanna Liang , Piotr Slomka , Los Angeles , Robert Miller , Andrew Einstein , Serge Van Kriekinge , Sharmila Dorbala , Yuka Otaki , Timothy Bateman , Wei Chih Chun , Edward Miller , Ananya Singh , Albert Sinusas , Damini Dey , Daniel Berman , Philipp Kaufmann , Paul Kavanagh , Department Of Radiology ,