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Thrombosis Research|April 27, 2024
Low absolute risk of thrombotic and cardiovascular events in outpatient pregnant women with COVID-19Behnood Bikdeli, Darsiya Krishnathasan, Candrika D Khairani, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
Journal of Thrombosis and Thrombolysis|March 11, 2025
Predictors of venous thromboembolic events in hospitalized patients with COVID-19Giovanni Scimeca, Darsiya Krishnathasan, Sina Rashedi, et al.
Frontiers in Bioscience (Landmark Edition)|December 3, 2021
Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative reviewSmiksha Munjral, Puneet Ahluwalia, Ankush D Jamthikar, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence ModelsJasjit S Suri, Sushant Agarwal, Rajesh Pathak, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed TomographyJasjit S Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Journal of Clinical Medicine|November 26, 2022
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative StudyNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
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