An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
Brain tumor characterization using radiogenomics in artificial intelligence framework
Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …
the biology and behaviour of cancer in response to conventional treatments. One of the most …
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …
The link between PD and cardiovascular disease (CVD) is not available, leading to …
COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
Cardiovascular/stroke risk stratification in diabetic foot infection patients using deep learning-based artificial intelligence: an investigative study
NN Khanna, MA Maindarkar, V Viswanathan… - Journal of clinical …, 2022 - mdpi.com
A diabetic foot infection (DFI) is among the most serious, incurable, and costly to treat
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography …
SS Skandha, M Agarwal, K Utkarsh, SK Gupta… - Neural Computing and …, 2022 - Springer
Deep learning (DL) models are computationally expensive in space and time, which makes
it difficult to deploy DL models in edge computing devices, such as Raspberry-Pi or Jetson …
it difficult to deploy DL models in edge computing devices, such as Raspberry-Pi or Jetson …
Vascular implications of COVID-19: role of radiological imaging, artificial intelligence, and tissue characterization: a special report
The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people
worldwide, with mortality exceeding six million. The average survival span is just 14 days …
worldwide, with mortality exceeding six million. The average survival span is just 14 days …
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death
Abstract Background The Neonatal mortality rate in the United States is 3.8 deaths per 1000
live births, which is comparably higher than other nations. Purpose The aim of the proposed …
live births, which is comparably higher than other nations. Purpose The aim of the proposed …