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September 10, 2025Korean Journal of Radiology

Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms

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Authors

CRChanyoung RheeKHKi Jeong HongKKKi Hong Kim

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Overview

Analysis shows AI predicts major adverse events in patients visiting the emergency department, suggesting improved triage efficacy.

Key Points

  • AI analysis outperformed KTAS in predicting major adverse cardiopulmonary events, showing improved predictive performance.
  • Among 3576 patients, 32.1% experienced major adverse events, emphasizing the need for accurate prediction.
  • Multivariable logistic regression confirmed AI as an independent predictor, enhancing triage accuracy in the ED.
  • Combination of AI and KTAS yielded higher predictive accuracy, indicating a potential for better clinical outcomes.

Cite This Study

Rhee et al. (2025) studied this question.

synapsesocial.com/papers/68c24317b210217d647a5829https://doi.org/10.3348/kjr.2025.0237
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