Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study

EClinicalMedicine · Published 2026-07-01 · DOI 10.1016/j.eclinm.2026.104055

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Authors (63)

Arnaud Champetier, Pedro Lopez-Ayala, Christoph Reich, Jasper Boeddinghaus, Philippe Cattin, Luca Koechlin, Òscar Miró, Michael Christ, Dagmar Iris Keller, Francisco Javier Martín-Sánchez, Beata Morawiec, Jiri Parenica, Emel Kaplan, Paolo Bima, Lourdes Herraiz Recuenco, Gabrielle Huré, Dani Herzka, Karin Wildi, Luca Crisanti, Koray Durak, Julia Sophia Schaffer, Tobias Zimmermann, Felix Mahfoud, Bertil Lindahl, Evangelos Giannitsis, Ivo Strebel, Christian Mueller, Carlos Spagnuolo, Jonas Glaeser, Thomas Nestelberger, Desiree Wussler, Maria Rubini Gimenez, Danielle Menosi Gualandro, Christian Puelacher, Jeanne du Fay de Lavallaz, Julia Reinhardt, Kathrin Meissner, Katharina Rentsch, Ksenia Slankamenac, Beatriz López, Gemma Martinez-Nadal, Esther Rodriguez Adrada, Arnold von Eckardstein, Damian Kawecki, Piotr Muzyk, Nicolas Geigy, Eliška Potluková, Stephan Steuer, Angelika Hammerer-Lercher, Andreas Buser, James McCord, Richard Nowak, Richard Body, Christopher deFilippi, Robert Christenson, Mauro Panteghini, Mario Plebani, Franck Verschuren, John French, Silvia Weiser, Tomas Jernberg, Aitor Alquézar-Arbé, Jordi Ordonez-Llanos

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Publication details

Year
2026

Citation

Champetier, A., Lopez-Ayala, P., Reich, C., et al. (2026). Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study. EClinicalMedicine. https://doi.org/10.1016/j.eclinm.2026.104055

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