Elodie Labrecque Langlais
Overview
Explore the profile of Elodie Labrecque Langlais including associated specialties, affiliations and a list of published articles.
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6
Citations
8
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Recent Articles
1.
Yurk D, Barrios J, Labrecque Langlais E, Avram R, Aras M, Abu-Mostafa Y, et al.
JACC Adv
. 2024 Oct;
3(9):101192.
PMID: 39372459
Background: Early recognition of volume overload is essential for heart failure patients. Volume overload can often be easily treated if caught early but causes significant morbidity if unrecognized and allowed...
2.
Doolub G, Khurshid S, Theriault-Lauzier P, Nolin Lapalme A, Tastet O, So D, et al.
Can J Cardiol
. 2024 Jun;
40(10):1813-1827.
PMID: 38901544
This article reviews the application of artificial intelligence (AI) in acute cardiac care, highlighting its potential to transform patient outcomes in the face of the global burden of cardiovascular diseases....
3.
Theriault-Lauzier P, Cobin D, Tastet O, Labrecque Langlais E, Taji B, Kang G, et al.
Can J Cardiol
. 2024 Jun;
40(10):1828-1840.
PMID: 38885787
The potential of artificial intelligence (AI) in medicine lies in its ability to enhance clinicians' capacity to analyse medical images, thereby improving diagnostic precision and accuracy and thus enhancing current...
4.
Labrecque Langlais E, Corbin D, Tastet O, Hayek A, Doolub G, Mrad S, et al.
NPJ Digit Med
. 2024 May;
7(1):138.
PMID: 38783037
The coronary angiogram is the gold standard for evaluating the severity of coronary artery disease stenoses. Presently, the assessment is conducted visually by cardiologists, a method that lacks standardization. This...
5.
Labrecque Langlais E, Avram R
J Card Fail
. 2023 Mar;
29(7):1029-1031.
PMID: 36878352
No abstract available.
6.
Labrecque Langlais E, Theriault-Lauzier P, Marquis-Gravel G, Kulbay M, So D, Tanguay J, et al.
J Cardiovasc Transl Res
. 2022 Apr;
16(3):513-525.
PMID: 35460017
Cardiovascular diseases are the leading cause of death globally and contribute significantly to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using supervised and unsupervised learning,...