Clinical evidence
Every claim, with the study behind it
aiTriage™ comes from a research programme that began with heart rate variability in emergency department patients, has focused on chest pain since 2013, and now includes a pilot randomised controlled trial. Of the 19 publications below, 11 are in chest pain triage. Each links to its publication record.
- 19Peer-reviewed publications
- 2010Research programme publishing since
- 14Journals
Selected reading
Where to start
Latest validation study
Performance of a novel multimodal machine learning risk stratification tool (aiTriage v2.0) for chest pain patients presenting to the emergency departmentJournal of the American College of Cardiology, 2026
Pilot randomised controlled trial
Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled TrialClinical and Experimental Emergency Medicine, 2026
Foundational HRV risk score
Heart Rate Variability Risk Score for Prediction of Acute Cardiac Complications in ED Chest Pain PatientsThe American Journal of Emergency Medicine, 2013
How we validate
Research first, then regulation
Our algorithms are developed and validated with academic and clinical partners before they reach the product, and the product is built under an ISO 13485:2016 quality management system. Clearances and certificates are published on the regulatory page.
View regulatory documentsClinical evidence
All publications
Filter by year, or browse the full list. Links open the publication record.
Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial
Authors: Wang Y, Li R, Pasupathi Y, Chan Y, Birthylon PI, Fook-Chong S, Zhang H, Lim SH, Kiat KTB, Basilio-Razon PI
Journal: Clinical and Experimental Emergency Medicine · 2026
View publicationPerformance of a novel multimodal machine learning risk stratification tool (aiTriage v2.0) for chest pain patients presenting to the emergency department
Authors: Wood B, Okada Y, Li R, Pasupathi Y, Chan MY, Birthylon P, Fook-Chong S, Zhang H, Lim SH, Tan K, Ong MEH, Koh ZX, Basilio-Razon PI
Journal: Journal of the American College of Cardiology · 2026
View publicationHRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis
Authors: Niu C, Guo D, Ong MEH, Koh ZX, Guerry ALM, Ho AFW, Lin Z, Liu C, Clifford G, Liu N
Journal: Journal of Open Source Software · 2023
View publicationAdding heart rate n-variability (HRnV) to clinical assessment potentially improves prediction of serious bacterial infections in young febrile infants at the emergency department: a prospective observational study
Authors: Chong S, Niu C, Piragasam R, Koh ZX, Guo D, Lee JH, Ong GY, Ong MEH, Liu N
Journal: Annals of Translational Medicine · 2023
View publicationIntegrating Heart Rate Variability, Vital Signs, Electrocardiogram, and Troponin to Triage Chest Pain Patients in the ED
Authors: Sakamoto JT, Liu N, Koh ZX, Guo D, Heldeweg MLA, Ng JCJ, Ong MEH
Journal: The American Journal of Emergency Medicine · 2018
View publicationEnsemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
Authors: Liu N, Sakamoto JT, Cao J, Koh ZX, Ho AFW, Lin Z, Ong MEH
Journal: Cognitive Computation · 2017
View publicationComparing HEART, TIMI and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department
Authors: Sakamoto JT, Liu N, Koh ZX, Fung NXJ, Heldeweg MLA, Ng JCJ, Ong MEH
Journal: International Journal of Cardiology · 2016
View publicationA novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain
Authors: Heldeweg MLA, Liu N, Koh ZX, Fook-Chong S, Lye WK, Harms M, Ong MEH
Journal: Critical Care · 2016
View publicationManifold ranking based scoring system with its application to cardiac arrest prediction: a retrospective study in emergency department patients
Authors: Liu T, Lin Z, Ong MEH, Koh ZX, Pek PP, Yeo YK, Oh B, Ho AFW, Liu N
Journal: Computers in Biology and Medicine · 2015
View publicationRisk Stratification for Prediction of Adverse Coronary Events in Emergency Department Chest Pain Patients with a Machine Learning Score Compared with the TIMI Score
Authors: Liu N, Lee MAB, Ho AFW, Haaland B, Fook-Chong S, Koh ZX, Pek PP, Chua ECP, Ting BP, Lin Z, Ong MEH
Journal: International Journal of Cardiology · 2014
View publicationValidation of a Risk Scoring Model for prediction of Acute Cardiac complications in Chest Pain Patients Presenting to the Emergency Department
Authors: Liu N, Goh J, Lin Z, Koh ZX, Fook-Chong S, Haaland B, Wai KL, Ting BP, Shahidah N, Ong MEH
Journal: International Journal of Cardiology · 2014
View publicationPrediction of Adverse Cardiac Events in Emergency Department Patients with Chest Pain Using Machine Learning for Variable Selection
Authors: Liu N, Koh ZX, Goh J, Lin Z, Haaland B, Ting BP, Ong MEH
Journal: BMC Medical Informatics and Decision Making · 2014
View publicationRisk Stratification with Extreme Learning Machine: A Retrospective Study on Emergency Department Patients
Authors: Liu N, Cao J, Koh ZX, Pek PP, Ong MEH
Journal: Mathematical Problems in Engineering · 2014
View publicationEvolutionary Voting Based Extreme Learning Machines
Authors: Liu N, Cao J, Lin Z, Pek PP, Koh ZX, Ong MEH
Journal: Mathematical Problems in Engineering · 2014
View publicationRisk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data
Authors: Liu N, Koh ZX, Chua EC, Tan LM, Lin Z, Mirza B, Ong MEH
Journal: IEEE Journal of Biomedical and Health Informatics · 2014
View publicationHeart Rate Variability Risk Score for Prediction of Acute Cardiac Complications in ED Chest Pain Patients
Authors: Ong MEH, Goh JY, Fook-Chong S, Haaland B, Khin LW, Koh ZX, Shahidah N, Lin Z
Journal: The American Journal of Emergency Medicine · 2013
View publicationAn Intelligent Scoring System and Its Application to Cardiac Arrest Prediction
Authors: Liu N, Lin Z, Cao J, Koh G, Zhang T, Ser W, Huang G, Ong MEH
Journal: IEEE Transactions on Information Technology in Biomedicine · 2012
View publicationPrediction of Cardiac Arrest in Critically Ill Patients presenting to the Emergency Department Using a Machine Learning Score Incorporating Heart Rate Variability Compared with the Modified Early Warning Score
Authors: Ong MEH, Ng CHL, Goh KJY, Liu N, Koh ZX, Shahidah A, Zhang TT, Fook-Chong S, Lin Z
Journal: Critical Care · 2012
View publicationPatient Outcome Prediction with Heart Rate Variability and Vital Signs
Authors: Liu N, Lin Z, Koh ZX, Huang GB, Ser W, Ong MEH
Journal: Journal of Signal Processing Systems · 2010
View publication
Discuss the evidence with our team
We are happy to walk through study design, results and how aiTriage was validated at each site.