AIMC Topic: Chest Pain
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Automated computation of the HEART score with the GPT-4 large language model.
The American journal of emergency medicine
Jul 1, 2025
BACKGROUND: Automated computation of the HEART score has the potential to facilitate clinical decision support and safety interventions. The goal of this study was to assess the performance of the GPT-4 large language model (LLM) in computation of th...
Re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting research evidence to practice using artificial intelligence. (RAPIDx AI)-a cluster randomized study design.
American heart journal
Jul 1, 2025
BACKGROUND: Clinical work-up for suspected cardiac chest pain is resource intensive. Despite expectations, high-sensitivity cardiac troponin assays have not made decision making easier. The impact of recently validated rapid triage protocols includin...
[Coronary computed tomography in the clinical arena. Recent evidence and future perspectives].
Giornale italiano di cardiologia (2006)
May 1, 2025
In the past few years, computed tomography coronary angiography (CTCA) has rapidly become a widely used diagnostic tool in several clinical settings and is recommended by the European guidelines with a high degree of recommendation in patients with s...
Accelerated Chest Pain Treatment With Artificial Intelligence-Informed, Risk-Driven Triage.
JAMA internal medicine
Sep 1, 2024
Accelerating chest pain evaluation with machine learning.
European heart journal. Acute cardiovascular care
Nov 16, 2023
Design and implementation of a smart Internet of Things chest pain center based on deep learning.
Mathematical biosciences and engineering : MBE
Oct 10, 2023
The data input process for most chest pain centers is not intelligent, requiring a lot of staff to manually input patient information. This leads to problems such as long processing times, high potential for errors, an inability to access patient dat...
Care Models for Acute Chest Pain That Improve Outcomes and Efficiency: JACC State-of-the-Art Review.
Journal of the American College of Cardiology
Jun 14, 2022
Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expensive. In this review, the authors describe existing chest pain pathways and current issues at the patient and system level, and provide an overview of...
Moving forward with machine learning models in acute chest pain.
The Lancet. Digital health
May 1, 2022
Validation of an Artificial Intelligence Algorithm for Diagnostic Prediction of Coronary Disease: Comparison with a Traditional Statistical Model.
Arquivos brasileiros de cardiologia
Dec 1, 2021
BACKGROUND: Multivariate prognostic analysis has been traditionally performed by regression models. However, many algorithms capable of translating an infinity of patterns into probabilities have emerged. The comparative accuracy of artificial intell...
A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning.
Chinese medical journal
Apr 5, 2020
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