High Discriminative Performance Without Clinical Readiness: Methodological Gaps in Machine Learning–Based Prediction of the No-Reflow Phenomenon in ST-Segment Elevation Myocardial Infarction

Bakhriansyah, Jordan; Baharuddin, Baharuddin; Angielevi Sukarno, Devitya; Handayani, Lilies

High Discriminative Performance Without Clinical Readiness: Methodological Gaps in Machine Learning–Based Prediction of the No-Reflow Phenomenon in ST-Segment Elevation Myocardial Infarction [Turk Kardiyol Dern Ars]

Turk Kardiyol Dern Ars. Ahead of Print: TKDA-78940 | DOI: 10.5543/tkda.2026.78940

High Discriminative Performance Without Clinical Readiness: Methodological Gaps in Machine Learning–Based Prediction of the No-Reflow Phenomenon in ST-Segment Elevation Myocardial Infarction

Jordan Bakhriansyah¹, Baharuddin Baharuddin¹, Devitya Angielevi Sukarno¹, Lilies Handayani²
¹University of Surabaya, Faculty of Medicine, Kalirungkut, Surabaya, Indonesia
²Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan

Corresponding Author: Baharuddin Baharuddin
Manuscript Language: English

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High Discriminative Performance Without Clinical Readiness: Methodological Gaps in Machine Learning–Based Prediction of the No-Reflow Phenomenon in ST-Segment Elevation Myocardial Infarction

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