What type of study is this?

This is a Systematic Review study.

September 27, 2025Journal of Clinical MedicineOpen Access

Artificial Intelligence for Myocardial Infarction Detection via Electrocardiogram: A Scoping Review

View Full Paper

Ask AI

Bookmark

Authors

SBSosana BdirAn-Najah National University MJMustafa I. JaberImmunityBio (United States)OTOsaid TanbouzAn-Najah National University

Discussion

Member takes

Implication

This scoping review evaluates how artificial intelligence improves myocardial infarction detection via electrocardiograms, highlighting performance metrics and validation challenges.

Key Points

AI applications for myocardial infarction detection using electrocardiograms have rapidly increased since 2015, with a peak in 2022.
220 studies were selected from over 7000 articles, featuring artificial intelligence models and performance metrics including accuracy and AUC.
Many diagnostic reports show high performance, but often stem from small datasets, raising concerns about generalizability and validation methods.
Standardization in reporting and future considerations for clinical integration of artificial intelligence models will be vital for safe implementation.

Cite This Study

Bdir et al. (2025) studied this question.

synapsesocial.com/papers/68d7b3e2eebfec0fc52369be https://doi.org/10.3390/jcm14196792

View Full Paper

Ask AI

Bookmark

Implication

This scoping review evaluates how artificial intelligence improves myocardial infarction detection via electrocardiograms, highlighting performance metrics and validation challenges.

Artificial Intelligence for Myocardial Infarction Detection via Electrocardiogram: A Scoping Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Artificial Intelligence for Myocardial Infarction Detection via Electrocardiogram: A Scoping Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider