Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
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
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
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] Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data …
AK Dubey, GL Chabert, A Carriero, A Pasche… - Diagnostics, 2023 - mdpi.com
Background and motivation: Lung computed tomography (CT) techniques are high-
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
[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 …
Deep learning paradigm and its bias for coronary artery wall segmentation in intravascular ultrasound scans: a closer look
Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey
E Tiwari, D Shrimankar, M Maindarkar… - Rheumatology …, 2025 - Springer
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic
lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's …
lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's …
Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
Abstract Trained Artificial Intelligence (AI) models are challenging to install on edge devices
as they are low in memory and computational power. Pruned AI (PAI) models are therefore …
as they are low in memory and computational power. Pruned AI (PAI) models are therefore …
[HTML][HTML] UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features …
Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms
appear late in the disease's progression. Despite clinical risk scores, cardiac event …
appear late in the disease's progression. Despite clinical risk scores, cardiac event …