[HTML][HTML] Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine

S Saxena, B Jena, N Gupta, S Das, D Sarmah… - Cancers, 2022 - mdpi.com
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

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 …

[HTML][HTML] 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 …

Role of ensemble deep learning for brain tumor classification in multiple magnetic resonance imaging sequence data

GS Tandel, A Tiwari, OG Kakde, N Gupta, L Saba… - Diagnostics, 2023 - mdpi.com
The biopsy is a gold standard method for tumor grading. However, due to its invasive nature,
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound

PK Jain, N Sharma, AA Giannopoulos, L Saba… - Computers in biology …, 2021 - Elsevier
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …

M Agarwal, S Agarwal, L Saba, GL Chabert… - Computers in biology …, 2022 - Elsevier
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 …

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …

AM Johri, KV Singh, LE Mantella, L Saba… - Computers in Biology …, 2022 - Elsevier
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …

A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model

M Elsharkawy, A Sharafeldeen, A Soliman, F Khalifa… - Diagnostics, 2022 - mdpi.com
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …

Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: a neuro-oncological investigation

S Saxena, B Jena, B Mohapatra, N Gupta… - Computers in Biology …, 2023 - Elsevier
Abstract Background The O6-methylguanine-DNA methyltransferase (MGMT) is a
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …

[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 …