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Authors
Al-Zaiti, Salah S. http://orcid.org/0000-0002-6862-0658
Martin-Gill, Christian http://orcid.org/0000-0002-3522-2100
Zègre-Hemsey, Jessica K. http://orcid.org/0000-0002-5650-0464
Bouzid, Zeineb http://orcid.org/0000-0002-1095-4444
Faramand, Ziad
Alrawashdeh, Mohammad O. http://orcid.org/0000-0003-4657-0247
Gregg, Richard E.
Helman, Stephanie
Riek, Nathan T. http://orcid.org/0000-0003-3286-560X
Kraevsky-Phillips, Karina http://orcid.org/0000-0003-2362-7749
Clermont, Gilles
Akcakaya, Murat
Sereika, Susan M.
Van Dam, Peter
Smith, Stephen W. http://orcid.org/0000-0002-9166-9804
Birnbaum, Yochai http://orcid.org/0000-0001-7653-6328
Saba, Samir
Sejdic, Ervin
Callaway, Clifton W.
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Article History
Received: 24 January 2023
Accepted: 11 May 2023
First Online: 29 June 2023
Competing interests
: US Patent 10820822; owner: University of Pittsburgh; inventors: S.S.A.-Z., E.S. and C.W.C. This patent describes methods and systems for identifying increased likelihood of non-ST elevation myocardial infarction (NSTEMI) in a patient based on ECG data. This patent is not under any licensing or commercial agreement whatsoever. The remaining authors declare no competing interests.
