High-density lipoprotein as a therapeutic target: a systematic review

IM Singh, MH Shishehbor, BJ Ansell - Jama, 2007 - jamanetwork.com
ContextHigh-density lipoprotein cholesterol (HDL-C) is a cardiovascular risk factor that is
gaining substantial interest as a therapeutic target.ObjectivesTo review the current and …

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A …

…, M Biswas, M Majhail, L Saba, G Faa, IM Singh… - Computers in biology …, 2020 - Elsevier
Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has …

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

…, K Jain, H Jain, T Jujaray, IM Singh, M Turk… - Computers in biology …, 2022 - Elsevier
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 that COVLIAS …

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

…, M Agarwal, A Patrick, G Faa, IM Singh… - Computers in Biology …, 2021 - Elsevier
COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities
as of December 21, 2020. The primary cause of death due to COVID-19 is Acute Respiratory …

In unstable angina or non–ST-segment acute coronary syndrome, should patients with multivessel coronary artery disease undergo multivessel or culprit-only stenting …

MH Shishehbor, MS Lauer, IM Singh, DP Chew… - Journal of the American …, 2007 - jacc.org
Objectives : We examined the safety and efficacy of nonculprit multivessel compared with
culprit-only stenting in patients with multivessel disease presenting with unstable angina or non…

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 …

[HTML][HTML] COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models

…, M Columbu, L Saba, SK Gupta, G Faa, IM Singh… - Diagnostics, 2021 - mdpi.com
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is
important for the diagnosis of lung severity. The process of automated lung segmentation is …

[HTML][HTML] Economics of artificial intelligence in healthcare: diagnosis vs. treatment

…, A Sharma, R Kolluri, IM Singh, JR Laird, M Fatemi… - 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 patients …

[HTML][HTML] Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data …

…, MK Kalra, DW Sobel, JR Laird, IM Singh, N Singh… - 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 control …

[HTML][HTML] COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans

…, L Saba, A Mehmedović, G Faa, IM Singh, M Turk… - Diagnostics, 2022 - mdpi.com
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization. …