Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
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 …
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 …
[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases
M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …
management and improve public health outcomes. By harnessing the power of artificial …
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable …
Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …
relationship between external risk factors and our genetics have not been well established. It …
Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …
epidemics, especially when the number of patients increases rapidly, as seen during the …
[HTML][HTML] Cardiovascular disease/stroke risk stratification in deep learning framework: a review
The global mortality rate is known to be the highest due to cardiovascular disease (CVD).
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
A pharmaceutical paradigm for cardiovascular composite risk assessment using novel radiogenomics risk predictors in precision explainable artificial intelligence …
Background: Cardiovascular disease (CVD) is challenging to diagnose and treat since
symptoms appear late during the progression of atherosclerosis. Conventional risk factors …
symptoms appear late during the progression of atherosclerosis. Conventional risk factors …
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
Background and novelty When RT-PCR is ineffective in early diagnosis and understanding
of COVID-19 severity, Computed Tomography (CT) scans are needed for COVID diagnosis …
of COVID-19 severity, Computed Tomography (CT) scans are needed for COVID diagnosis …