Narendra N. Khanna

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

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

2022 · 79 Zit. · Computers in Biology and Medicine

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

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

2024 · 56 Zit. · Artificial Intelligence Review

Artificial intelligence bias in medical system designs: a systematic review

2023 · 54 Zit. · Multimedia Tools and Applications

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

2020 · 35 Zit. · Reviews in Cardiovascular Medicine

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

Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework

2023 · 5 Zit. · Research Square (Research Square)