Search Results - "Lin, Keldon K."

Diagnostic Tools for Coronavirus Disease (COVID-19): Comparing CT and RT-PCR Viral Nucleic Acid Testing by Waller, Joseph V, Kaur, Parveer, Tucker, Amy, Lin, Keldon K, Diaz, Michael J, Henry, Travis S, Hope, Michael

“…Multiple studies suggest CT should be a primary diagnostic tool for coronavirus disease (COVID-19) because they reported sensitivities with CT far superior to…”
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Reviewing applications of structural and functional MRI for bipolar disorder by Waller, Joseph, Miao, Tyler, Ikedionwu, Ifeoma, Lin, Keldon K.

“…Bipolar disorders (BDs) represent one of the leading causes of disability and morbidity globally. The use of functional magnetic resonance imaging (fMRI) is…”
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Ann’s Final Gift by Lin, Keldon K.

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Diversity, Equity, and Inclusion Among Anesthesiology Trainees by Patel, Shyam, Lin, Keldon K, Milam, Adam J, Yu, Soojie, Raynor, Gwendolyn, Narjeet, Khurmi, Verdiner, Ricardo, Girardo, Marlene E, Misra, Lopa

“…Background: Historically in medicine, women and minorities have been underrepresented. This trend is especially significant in the anesthesiology workforce…”
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The Limited Sensitivity of Chest Computed Tomography Relative to Reverse Transcription Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus-2 Infection: A Systematic Review on COVID-19 Diagnostics by Waller, Joseph V., Allen, Isabel E., Lin, Keldon K., Diaz, Michael J., Henry, Travis S., Hope, Michael D.

“…OBJECTIVESSeveral studies suggest the sensitivity of chest computed tomography (CT) is far greater than that of reverse transcription polymerase chain reaction…”
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The Practicality of Post-mortem Imaging in Prenatal, Perinatal, and Pediatric Cases by Ashby, Christina, Razzak, Abrahim N, Kogler, Ann, Amireh, Ahmad, Dempsey, John, Lin, Keldon K, Waller, Joseph, Jha, Pinky

“…The essential role of the autopsy is seen in its contributions to medical care, scientific research, and family counseling. Major contributions are also noted…”
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Building a Natural Language Processing Artificial Intelligence to Predict Suicide-Related Events Based on Patient Portal Message Data by Bhandarkar, Archis R., Arya, Namrata, Lin, Keldon K., North, Frederick, Duvall, Michelle J., Miller, Nathaniel E., Pecina, Jennifer L.

“…Objective: To develop a natural language processing artificial intelligence model trained on text from patient portal messages to predict 30-day…”
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Ann’s Final Gift by Lin, Keldon K.

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