Detalhe da pesquisa
1.
Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association.
Circulation
; 149(6): e296-e311, 2024 02 06.
Artigo
Inglês
| MEDLINE | ID: mdl-38193315
2.
Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.
Curr Atheroscler Rep
; 26(4): 91-102, 2024 Apr.
Artigo
Inglês
| MEDLINE | ID: mdl-38363525
3.
Quantitation of diffuse myocardial ischemia with mental stress and its association with cardiovascular events in individuals with recent myocardial infarction.
J Nucl Cardiol
; 30(5): 2029-2038, 2023 10.
Artigo
Inglês
| MEDLINE | ID: mdl-36991249
4.
Artificial intelligence for advanced analysis of coronary plaque.
Eur Heart J Suppl
; 25(Suppl C): C112-C117, 2023 May.
Artigo
Inglês
| MEDLINE | ID: mdl-37125298
5.
Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA.
Eur Radiol
; 31(10): 7251-7261, 2021 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-33860371
6.
Predictive Value of Cardiac CTA, Cardiac MRI, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence.
AJR Am J Roentgenol
; 217(2): 336-346, 2021 08.
Artigo
Inglês
| MEDLINE | ID: mdl-32936016
7.
A fully automated software platform for structural mitral valve analysis.
Eur Radiol
; 30(12): 6528-6536, 2020 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-32617689
8.
Towards reference values of pericoronary adipose tissue attenuation: impact of coronary artery and tube voltage in coronary computed tomography angiography.
Eur Radiol
; 30(12): 6838-6846, 2020 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-32700017
9.
Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.
AJR Am J Roentgenol
; 214(5): 1065-1071, 2020 05.
Artigo
Inglês
| MEDLINE | ID: mdl-32130041
10.
Artificial intelligence in cardiac radiology.
Radiol Med
; 125(11): 1186-1199, 2020 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-32946002
11.
Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT.
Radiology
; 293(2): 260-271, 2019 11.
Artigo
Inglês
| MEDLINE | ID: mdl-31502938
12.
Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
Eur Radiol
; 29(5): 2378-2387, 2019 May.
Artigo
Inglês
| MEDLINE | ID: mdl-30523456
13.
Artificial intelligence in cardiac imaging: where we are and what we want.
Eur Heart J
; 44(7): 541-543, 2023 02 14.
Artigo
Inglês
| MEDLINE | ID: mdl-36527291
14.
Can Radiomics Help in the Identification of Vulnerable Coronary Plaque?
Radiology
; 307(2): e223342, 2023 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36786708
15.
Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patients.
J Magn Reson Imaging
; 2018 Feb 15.
Artigo
Inglês
| MEDLINE | ID: mdl-29446527
16.
The Role of Artificial Intelligence in Cardiac Imaging.
Radiol Clin North Am
; 62(3): 473-488, 2024 May.
Artigo
Inglês
| MEDLINE | ID: mdl-38553181
17.
Intra- and inter-reader reproducibility in quantitative coronary plaque analysis on coronary computed tomography angiography.
Curr Probl Cardiol
; 49(7): 102585, 2024 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-38688396
18.
Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.
Int J Cardiovasc Imaging
; 2024 May 03.
Artigo
Inglês
| MEDLINE | ID: mdl-38700819
19.
Left Main Coronary Artery Calcium and Diabetes Confer Very-High-Risk Equivalence in Coronary Artery Calcium >1,000.
JACC Cardiovasc Imaging
; 2024 Feb 12.
Artigo
Inglês
| MEDLINE | ID: mdl-38385932
20.
Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care.
Circ Cardiovasc Imaging
; 16(12): e014533, 2023 12.
Artigo
Inglês
| MEDLINE | ID: mdl-38073535