For individuals with true ACS, the algorithm claims to accelerate the treatment process by facilitating rapid assessments for chest pain onset over three hours before the initial blood sample.

Is this a Better Predictive Algorithm for ACS? —Global CVD assessment tools have a limited ability to identify patients with subclinical disease who may be at high risk for acute coronary syndrome.

Named the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome (CoDE-ACS), the algorithm was designed to calculate the probability of a heart attack for an individual patient.

Dascena developed a machine learning algorithm to detect ACS that demonstrated an area under the receiver operating curve (AUROC) of 86% for the detection of ACS, compared to 62% by the GRACE system.

According to a new study published in JAMA Cardiology, the European Society of Cardiology (ESC) 0/1-hour high-sensitivity cardiac troponin algorithm had a 96.6% negative predictive value (NPV) for ...

Roche, in collaboration with Universitätsklinikum Heidelberg, has developed a Chest Pain Triage algorithm ... (ACS) F. Hoffmann-La Roche Ltd . Wed, Apr 23, 2025, 1:00 AM 7 min read.

Roche has introduced its Chest Pain Triage algorithm, designed to rapidly identify acute coronary syndrome (ACS). This algorithm, part of the company’s cloud-based platform navify Algorithm ...

The algorithm also expedites the treatment process for patients with true ACS with Rapid Assessments of chest pain onset more than three hours before the first blood sample. In addition, it includes a ...