{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T04:08:49Z","timestamp":1789013329464,"version":"build-2803163510"},"reference-count":23,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"15","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,8,4]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Acute myocardial infarction is associated with substantial mortality risk that persists beyond the acute phase. Many existing post\u2013acute myocardial infarction risk models were developed before contemporary advances in treatment, potentially limiting their relevance in current practice. We aimed to develop simplified machine learning\u2013based models to predict short\u2010 and long\u2010term mortality after acute myocardial infarction in a contemporary therapeutic context.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">The Korean Artificial Intelligence\u2013Based Risk Model for Acute Myocardial Infarction (KARMA) was developed to predict 3\u2010month and 3\u2010year mortality using a boosted decision tree algorithm. Model development and internal validation were performed using the KAMIR (Korea Acute Myocardial Infarction Registry)\u2013National Institutes of Health registry (2011\u20132015), with external validation in the KAMIR\u2010V registry (2016\u20132020). Seven routinely available clinical variables were included.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">The KARMA models demonstrated excellent discrimination for both early and late mortality. Areas under the receiver operating characteristic curves for 3\u2010month KARMA and 3\u2010year KARMA were 0.91 (95% CI, 0.88\u20130.94) and 0.85 (95% CI, 0.82\u20130.87), respectively, significantly outperforming the GRACE (Global Registry of Acute Coronary Events) score (3\u2010month score: 0.79; 3\u2010year score: 0.80) and the KAMIR score (3\u2010month score: 0.84; 3\u2010year score: 0.82). Kaplan\u2013Meier curves showed clear and sustained separation across KARMA risk groups. Predictive performance was consistent across subgroups defined by age, sex, MI type, left ventricular dysfunction, and renal dysfunction. External validation in the KAMIR\u2010V cohort confirmed robust performance (area under the receiver operating characteristic curve, 0.92 for 3\u2010month and 0.86 for 3\u2010year mortality).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">The KARMA scores provide a reliable and readily accessible tool for predicting short\u2010 and long\u2010term post\u2013acute myocardial infarction mortality. Identification of high\u2010risk individuals would enable providers to optimize management strategies that could improve outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.126.049214","type":"journal-article","created":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T10:18:40Z","timestamp":1784974720000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Korean Artificial Intelligence\u2013Based Risk Model for Predicting Mortality After Acute Myocardial Infarction"],"prefix":"10.1161","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4673-6430","authenticated-orcid":false,"given":"Sun\u2010Hwa","family":"Kim","sequence":"first","affiliation":[{"name":"Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0463-3043","authenticated-orcid":false,"given":"Jae Hyeok","family":"Yoo","sequence":"additional","affiliation":[{"name":"Korea University","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9611-1490","authenticated-orcid":false,"given":"Jin Joo","family":"Park","sequence":"additional","affiliation":[{"name":"Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6305-4442","authenticated-orcid":false,"given":"Chang\u2010Hwan","family":"Yoon","sequence":"additional","affiliation":[{"name":"Seoul National University Bundang Hospital","place":["Seongnam, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shane","family":"Tobin","sequence":"additional","affiliation":[{"name":"University of California Santa Barbara","place":["Santa 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Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4628-0258","authenticated-orcid":false,"given":"In\u2010Whan","family":"Seong","sequence":"additional","affiliation":[{"name":"Chungnam National University Hospital","place":["Daejeon, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shung Chull","family":"Chae","sequence":"additional","affiliation":[{"name":"Kyungpook National University Hospital","place":["Daegu, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3186-0770","authenticated-orcid":false,"given":"Juhan","family":"Kim","sequence":"additional","affiliation":[{"name":"Chonnam National University Hospital","place":["Gwangju, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2022-9366","authenticated-orcid":false,"given":"Youngkeun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Chonnam National University Hospital","place":["Gwangju, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4902-5634","authenticated-orcid":false,"given":"Hyeon\u2010Cheol","family":"Gwon","sequence":"additional","affiliation":[{"name":"Samsung Medical Center","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6632-7239","authenticated-orcid":false,"given":"Jin\u2010Yong","family":"Hwang","sequence":"additional","affiliation":[{"name":"Gyeongsang National University Hospital","place":["Jinju, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyung\u2010Kuk","family":"Hwang","sequence":"additional","affiliation":[{"name":"Chungbuk National University Hospital","place":["Cheongju, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2424-810X","authenticated-orcid":false,"given":"Myung Ho","family":"Jeong","sequence":"additional","affiliation":[{"name":"Chonnam National University Hospital","place":["Gwangju, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6605-9385","authenticated-orcid":false,"given":"Barry","family":"Greenberg","sequence":"additional","affiliation":[{"name":"University of California","place":["San 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