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Ayis Pyrros

Showing results (1-10 of 11) with videos related to

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JMIR AI|July 3, 2026
Prediction of Type 2 Diabetes Mellitus From Chest X-Rays Using a Suite of Previously Developed Chronic Disease Deep Learning Models in an Ethnically Diverse Cohort: Observational StudyPola Lydia Lagari, Awais Farooq, Brian Thomas Layden, et al.
Academic Radiology|March 21, 2007
A Bayesian approach for the categorization of radiology reportsAyis Pyrros, Paul Nikolaidis, Vahid Yaghmai, et al.
Neuroimage|January 1, 2003
The brain's response to incidental intruded words during focal text processingJoseph Tracy, Adam Flanders, Saaussan Madi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|August 7, 2003
Regional brain activation associated with different performance patterns during learning of a complex motor skillJoseph Tracy, Adam Flanders, Saussan Madi, et al.
Nature Communications|February 7, 2025
Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevityPerry J Pickhardt, Michael W Kattan, Matthew H Lee, et al.
Journal of the American College of Radiology : JACR|January 16, 2022
Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest RadiographyAyis Pyrros, Jorge Mario Rodríguez-Fernández, Stephen M Borstelmann, et al.
Academic Radiology|June 11, 2022
Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility StudyAyis Pyrros, Andrew Chen, Jorge Mario Rodríguez-Fernández, et al.
Academic Radiology|June 17, 2021
Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep LearningAyis Pyrros, Adam Eugene Flanders, Jorge Mario Rodríguez-Fernández, et al.
PLOS Digital Health|February 22, 2023
Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19Ayis Pyrros, Jorge Rodriguez Fernandez, Stephen M Borstelmann, et al.
Nature Communications|July 7, 2023
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographsAyis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
JMIR AI|July 3, 2026
Prediction of Type 2 Diabetes Mellitus From Chest X-Rays Using a Suite of Previously Developed Chronic Disease Deep Learning Models in an Ethnically Diverse Cohort: Observational StudyPola Lydia Lagari, Awais Farooq, Brian Thomas Layden, et al.
Academic Radiology|March 21, 2007
A Bayesian approach for the categorization of radiology reportsAyis Pyrros, Paul Nikolaidis, Vahid Yaghmai, et al.
Neuroimage|January 1, 2003
The brain's response to incidental intruded words during focal text processingJoseph Tracy, Adam Flanders, Saaussan Madi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|August 7, 2003
Regional brain activation associated with different performance patterns during learning of a complex motor skillJoseph Tracy, Adam Flanders, Saussan Madi, et al.
Nature Communications|February 7, 2025
Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevityPerry J Pickhardt, Michael W Kattan, Matthew H Lee, et al.
Journal of the American College of Radiology : JACR|January 16, 2022
Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest RadiographyAyis Pyrros, Jorge Mario Rodríguez-Fernández, Stephen M Borstelmann, et al.
Academic Radiology|June 11, 2022
Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility StudyAyis Pyrros, Andrew Chen, Jorge Mario Rodríguez-Fernández, et al.
Academic Radiology|June 17, 2021
Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep LearningAyis Pyrros, Adam Eugene Flanders, Jorge Mario Rodríguez-Fernández, et al.
PLOS Digital Health|February 22, 2023
Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19Ayis Pyrros, Jorge Rodriguez Fernandez, Stephen M Borstelmann, et al.
Nature Communications|July 7, 2023
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographsAyis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
Pageof 2