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. 2022 Oct 14;9:1001982. doi: 10.3389/fcvm.2022.1001982

Figure 5.

Figure 5

Representative ECGs of false positive and false negative labeling by the proposed AI model. (A) This prehospital ECG showing pathological Q waves in the inferior and anterolateral leads was classified as STEMI by AI. The ground truth committee interpreted this ECG as recent or old myocardial infarctions and judged this AI labeling as a false positive case. (B) There was only one ECG with a false negative labeling by AI as “Not STEMI,” which was interpreted as “STEMI” according to the adjudication by the ground truth committee. Interestingly, this patient was diagnosed with a recent myocardial infarction by the cardiologist in charge at the destination hospital after incorporating more hospital-based information including historical ECGs and laboratory data, and did not require PPCI. (C) The evaluation metrics including area under the receiver operating characteristic curve, accuracy, specificity, precision, recall, and F1 score to assess the overall AI performance in the remote detection of STEMI from 362 prehospital 12-lead ECGs were 0.997, 0.992, 0.994, 0.889, 0.941, and 0.914, respectively.