The crucial role of image quality in AI-enabled ECG digitization and interpretation of occlusion myocardial infarction

J Electrocardiol. 2025 Jan 10:89:153873. doi: 10.1016/j.jelectrocard.2025.153873. Online ahead of print.

¹ Department of Advanced Biomedical Sciences, University of Naples Federico II, C.so Umberto I, 40, 80138 Naples, Italy; Cardiovascular Center Aalst, OLV Hospital, Moorselbaan 164, Aalst 9300, Belgium; Powerful Medical, Bratislavska 81/37, 931 01 Samorin, Slovakia. Electronic address: [email protected].
² Department of Emergency Medicine, Hennepin County Medical Center, Hennepin Healthcare, Minneapolis, MN, United States; Department of Emergency Medicine, University of Minnesota School of Medicine, Minneapolis, MN, United States. Electronic address: [email protected].

No abstract available

Keywords: Artificial intelligence; Digitization; Electrocardiography; Image quality; Occlusion myocardial infarction.

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