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Narendra N. Khanna

As seen in: MDPI
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Articles by Narendra N. Khanna

A comparative study of the state-of-the-art artificial intelligence models for automated plaque measurement in a carotid ultrasound Japanese cohort

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By Nikhil Singh, PANKAJ JAIN, Rubeena Vohra, Nikhil Kumar Singh, Arun K. Dubey, Mainak Biswas, Ekta Tiwari, Vinod Anand, Inder Singh, Esma R. Isenovic, Amer M. Johri, Laura E. Mantella, John Laird, Narendra N. Khanna, Zoltán Ruzsa, Rajesh Singh, Sanjay Saxena, Mustafa Al
| cdt.amegroups.org
Background: Automated carotid intima-media thickness (cIMT) measurement from B-mode ultrasound is important for cardiovascular risk stratification. Direct comparisons of deep learning architectures on the same cohort under controlled conditions remain limited. This study aimed to compare the accuracy and computational cost of three deep learning architectures with the commercial AtheroEdge™ 2.0 (AE 2.0) system for carotid ultrasound analysis.
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Diagnostics | Free Full-Text | DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images

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By Jaskaran Singh, Arun Kumar Dubey, Narendra N. Khanna, Prabhav Sanga
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

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By Vijay Viswanathan, Sudip Paul, Narendra N. Khanna, Mahesh A. Maindarkar
| MDPI
8.2. Benchmarking An analysis of the information shows that a few studies using different imaging modalities such as MRI, CT, X-ray, US, and ECG have been linked with AI models for the various disease diagnosis and treatment of renal, pulmonary, carotid artery disease, coronary artery disease, DR, and COVID-19. There is very little discussion of AI’s economic modeling seen in the literature. Only a few studies highlight AI models’ economic consequences and operating costs.
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