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Dania Daye

Showing results (11-20 of 111) with videos related to

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Techniques in Vascular and Interventional Radiology|July 9, 2025
Under Pressure: Treatment of Acute Severe Hypertension (Hypertensive Crisis)Wilton Fidelis, Basheir Salah, Tarig Elhakim, et al.
Frontiers in Oncology|February 10, 2023
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsArian Mansur, Zain Saleem, Tarig Elhakim, et al.
Academic Radiology|October 25, 2021
Synchronous Video-Based Virtual Visits in Interventional Radiology During the COVID-19 Pandemic - A Double-Edged Sword: Challenges and Opportunities for Improving CareNikhita Nambiar, John Panagides, Melissa Chittle, et al.
Academic Radiology|June 12, 2021
Leadership Titles in Radiology: Usage of Non-Inclusive Terminology among Academic Radiology Departments and SocietiesAlan Shan, Cheng Ting Lin, Dania Daye, et al.
Current Oncology Reports|April 21, 2021
Role of Machine Learning and Artificial Intelligence in Interventional OncologyBrian D'Amore, Sara Smolinski-Zhao, Dania Daye, et al.
The Journal of Clinical Investigation|February 18, 2015
Challenges and opportunities for reinvigorating the physician-scientist pipelineDania Daye, Chirag B Patel, Jaimo Ahn, et al.
Diagnostics (Basel, Switzerland)|March 11, 2023
Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future DirectionsTarig Elhakim, Kelly Trinh, Arian Mansur, et al.
CVIR Endovascular|February 6, 2023
The double-balloon technique: a safe and effective adjunctive technique in patients undergoing arterial therapy for hepatic malignancies with vascular supply not amenable to selective administrationMari Tanaka, Raul Uppot, Dania Daye, et al.
Journal of the American College of Radiology : JACR|May 20, 2020
Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime TimePriscilla J Slanetz, Dania Daye, Po-Hao Chen, et al.
Exploration of Targeted Anti-Tumor Therapy|March 11, 2024
Quantitative peritumoral magnetic resonance imaging fingerprinting improves machine learning-based prediction of overall survival in colorectal cancerAzadeh Tabari, Brian D'Amore, Janice Noh, et al.
Pageof 12

Showing results (11-20 of 111) with videos related to

Sort By:
Pageof 12
Techniques in Vascular and Interventional Radiology|July 9, 2025
Under Pressure: Treatment of Acute Severe Hypertension (Hypertensive Crisis)Wilton Fidelis, Basheir Salah, Tarig Elhakim, et al.
Frontiers in Oncology|February 10, 2023
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsArian Mansur, Zain Saleem, Tarig Elhakim, et al.
Academic Radiology|October 25, 2021
Synchronous Video-Based Virtual Visits in Interventional Radiology During the COVID-19 Pandemic - A Double-Edged Sword: Challenges and Opportunities for Improving CareNikhita Nambiar, John Panagides, Melissa Chittle, et al.
Academic Radiology|June 12, 2021
Leadership Titles in Radiology: Usage of Non-Inclusive Terminology among Academic Radiology Departments and SocietiesAlan Shan, Cheng Ting Lin, Dania Daye, et al.
Current Oncology Reports|April 21, 2021
Role of Machine Learning and Artificial Intelligence in Interventional OncologyBrian D'Amore, Sara Smolinski-Zhao, Dania Daye, et al.
The Journal of Clinical Investigation|February 18, 2015
Challenges and opportunities for reinvigorating the physician-scientist pipelineDania Daye, Chirag B Patel, Jaimo Ahn, et al.
Diagnostics (Basel, Switzerland)|March 11, 2023
Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future DirectionsTarig Elhakim, Kelly Trinh, Arian Mansur, et al.
CVIR Endovascular|February 6, 2023
The double-balloon technique: a safe and effective adjunctive technique in patients undergoing arterial therapy for hepatic malignancies with vascular supply not amenable to selective administrationMari Tanaka, Raul Uppot, Dania Daye, et al.
Journal of the American College of Radiology : JACR|May 20, 2020
Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime TimePriscilla J Slanetz, Dania Daye, Po-Hao Chen, et al.
Exploration of Targeted Anti-Tumor Therapy|March 11, 2024
Quantitative peritumoral magnetic resonance imaging fingerprinting improves machine learning-based prediction of overall survival in colorectal cancerAzadeh Tabari, Brian D'Amore, Janice Noh, et al.
Pageof 12