{{Cite journal| doi = 10.1161/CIRCULATIONAHA.123.066917| issn = 1524-4539 (Electronic) 0009-7322 (Linking)| volume = 149| issue = 14| pages = 1090–1101| last1 = Boeddinghaus| first1 = J.| last2 = Doudesis| first2 = D.| last3 = Lopez-Ayala| first3 = P.| last4 = Lee| first4 = K. K.| last5 = Koechlin| first5 = L.| last6 = Wildi| first6 = K.| last7 = Nestelberger| first7 = T.| last8 = Borer| first8 = R.| last9 = Miro| first9 = O.| last10 = Martin-Sanchez| first10 = F. J.| last11 = Strebel| first11 = I.| last12 = Rubini Gimenez| first12 = M.| last13 = Keller| first13 = D. I.| last14 = Christ| first14 = M.| last15 = Bularga| first15 = A.| last16 = Li| first16 = Z.| last17 = Ferry| first17 = A. V.| last18 = Tuck| first18 = C.| last19 = Anand| first19 = A.| last20 = Gray| first20 = A.| last21 = Mills| first21 = N. L.| last22 = Mueller| first22 = C.| last23 = Co| first23 = De Acs| last24 = Investigators| first24 = Apace| title = Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic Pathways| journal = Circulation| date = 2024-02-12| pmid = 38344871}}