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Editorial
. 2024 Jun 19;3(9):101012.
doi: 10.1016/j.jacadv.2024.101012. eCollection 2024 Sep.

Machines Running for Phenotyping of Myocardial Injury: The End to an Endless Conundrum?

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Editorial

Machines Running for Phenotyping of Myocardial Injury: The End to an Endless Conundrum?

Johannes T Neumann et al. JACC Adv. .
No abstract available

Keywords: injury; machine-learning; myocardial infarction.

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Conflict of interest statement

Dr Neumann is supported by grants from the German Foundation of Heart Research and the German Research Foundation; has received speaker honoraria/consulting honoraria from Abbott, PHC, Roche, and Siemens; and he is listed as coinventor of an international patent on the use of a computing device to estimate the probability of myocardial infarction (International Publication Number WO2022043229A1) as well as cofounder and shareholder of the ART-EMIS Hamburg GmbH. Dr Toprak is supported by a grant of the German Foundation of Heart Research and Werner Otto Stiftung; is the co-recipient of a grant by the Erst und Berta Grimmke-Stiftung; and has received travel grants from the German Center of Cardiovascular Research (DZHK).

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  • doi: 10.1016/j.jacadv.2024.101011

References

    1. Thygesen K., Alpert J.S., Jaffe A.S., et al. Fourth universal definition of myocardial infarction (2018) Eur Heart J. 2019;40:237–269. - PubMed
    1. Neumann J.T., Sörensen N.A., Rübsamen N., et al. Discrimination of patients with type 2 myocardial infarction. Eur Heart J. 2017;38:3514–3520. - PubMed
    1. Shameer K., Johnson K.W., Glicksberg B.S., Dudley J.T., Sengupta P.P. Machine learning in cardiovascular medicine: are we there yet? Heart. 2018;104:1156–1164. - PubMed
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    1. Herman R., Meyers H.P., Smith S.W., et al. International evaluation of an artificial intelligence-powered electrocardiogram model detecting acute coronary occlusion myocardial infarction. Eur Heart J Digit Health. 2024;5:123–133. - PMC - PubMed

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