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1.
Pregnancy outcomes and vaccine effectiveness during the period of omicron as the variant of concern, INTERCOVID-2022: a multinational, observational study.
Lancet;
401(10375): 447-457, 2023 02 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-36669520
2.
Maternal vaccination against COVID-19 and neonatal outcomes during Omicron: INTERCOVID-2022 study.
Am J Obstet Gynecol;
2024 Feb 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-38367758
3.
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review.
J Korean Med Sci;
38(46): e395, 2023 Nov 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-38013648
4.
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.
J Med Syst;
46(10): 62, 2022 Aug 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35988110
5.
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.
EClinicalMedicine;
73: 102660, 2024 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-38846068
6.
DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images.
Diagnostics (Basel);
13(19)2023 Oct 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37835902
7.
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death.
Comput Biol Med;
147: 105639, 2022 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35635905
8.
Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review.
Diagnostics (Basel);
12(5)2022 May 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-35626404
9.
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment.
Healthcare (Basel);
10(12)2022 Dec 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-36554017
10.
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
Diagnostics (Basel);
12(5)2022 May 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35626438
11.
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
Diagnostics (Basel);
12(6)2022 Jun 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-35741292
12.
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review.
Diagnostics (Basel);
12(7)2022 Jun 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-35885449
13.
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
Comput Biol Med;
146: 105571, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-35751196
14.
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study.
J Clin Med;
11(22)2022 Nov 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-36431321
15.
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts.
Diagnostics (Basel);
11(12)2021 Dec 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-34943603
16.
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography.
Diagnostics (Basel);
11(11)2021 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34829372
17.
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models.
Diagnostics (Basel);
11(8)2021 Aug 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-34441340
18.
Risk factors of neonatal mortality and child mortality in Bangladesh.
J Glob Health;
8(1): 010417, 2018 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-29740501
19.
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.
Comput Biol Med;
101: 128-145, 2018 10 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30138774
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