Jasjit S. Suri

The present and future of deep learning in radiology

2019 · 336 Zit. · European Journal of Radiology

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

2022 · 307 Zit. · Healthcare

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

2021 · 64 Zit. · International Journal of Computer Assisted Radiology and Surgery

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

2022 · 58 Zit. · Diagnostics

Artificial intelligence bias in medical system designs: a systematic review

2023 · 54 Zit. · Multimedia Tools and Applications

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

2022 · 38 Zit. · IEEE Transactions on Instrumentation and Measurement

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

2020 · 35 Zit. · Reviews in Cardiovascular Medicine

Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases

2024 · 18 Zit. · European Journal of Radiology

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool

2023 · 12 Zit. · Frontiers in Bioscience-Landmark

Applications of Artificial Intelligence in Vascular Diseases

2022 · 5 Zit. · Angiology

Deep learning and augmented radiology

2022 · 0 Zit.