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European Heart Journal. Acute Cardiovascular Care|March 27, 2026
Impact of switching high-sensitivity cardiac troponin assays on risk stratification in suspected acute coronary syndromeZiwen Li, Jasper Boeddinghaus, Anda Bularga, et al.
The Lancet. Global Health|October 18, 2020
Adverse health effects associated with household air pollution: a systematic review, meta-analysis, and burden estimation studyKuan Ken Lee, Rong Bing, Joanne Kiang, et al.
European Heart Journal|June 23, 2023
Troponin in early presenters to rule out myocardial infarctionMatthew T H Lowry, Dimitrios Doudesis, Jasper Boeddinghaus, et al.
Circulation|February 12, 2024
Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic PathwaysJasper Boeddinghaus, Dimitrios Doudesis, Pedro Lopez-Ayala, et al.
Nature Medicine|May 11, 2023
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrationsDimitrios Doudesis, Kuan Ken Lee, Jasper Boeddinghaus, et al.
JAMA Cardiology|April 22, 2026
Early Rule Out of Myocardial Infarction With a Novel High-Sensitivity Cardiac Troponin T AssayAlexander J F Thurston, Yong Yong Tew, Pedro Lopez-Ayala, et al.
ESC Heart Failure|February 19, 2026
Machine learning to optimize the diagnostic performance of natriuretic peptides for acute heart failure across age groupsDaniel Perez Vicencio, Dimitrios Doudesis, Alexander J F Thurston, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|May 2, 2023
Personalized diagnosis in suspected myocardial infarctionJohannes Tobias Neumann, Raphael Twerenbold, Francisco Ojeda, et al.
European Heart Journal. Acute Cardiovascular Care|April 12, 2025
Machine learning to optimise use of natriuretic peptides in the diagnosis of acute heart failureDimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, et al.
BMJ (Clinical Research Ed.)|June 13, 2022
Development and validation of a decision support tool for the diagnosis of acute heart failure: systematic review, meta-analysis, and modelling studyKuan Ken Lee, Dimitrios Doudesis, Mohamed Anwar, et al.
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