aiTriage pilot randomised trial published
The published pilot trial evaluates HRV-guided risk stratification for chest-pain patients in an emergency department.
Read at PubMedAI-powered chest pain triage
An objective risk score for chest pain, in minutes
aiTriage combines ECG and clinical inputs to help physicians assess chest pain risk. Developed in Singapore with leading institutions and validated in peer-reviewed research.
Developed and studied with
The platform
From ECG recording to risk report
Record a five-minute ECG and get a MACE risk score from 0 to 100, categorised as low, medium or high.
Explore the aiTriage platformWhy chest pain
Assessing chest pain takes time and clinical resources
Emergency departments balance urgent cases, observation capacity and demand for testing.
Why we focus on chest pain triage- 94.9%Patients without acute coronary syndrome among undifferentiated chest-pain patients in the cited studySource: JAMA Internal Medicine, 2016
- 19Research publicationsEvidence
- 12Clinical and research collaboratorsPartnerships
- 5Regulatory and quality documentsRegulatory
Clinician perspectives
Clinicians describe their expectations for aiTriage.
aiTriage™ will help increase confidence to safely discharge patients at an earlier time and reduce crowding in the Emergency Department.
Dr. Ting Boon PingSengkang General Hospital, SingaporeaiTriage™ would help Emergency Departments ease the burden of doctors and nurses.
Dr. Chok LimsuwatBumrungrad International Hospital, BangkokNews
Latest from TIIM Healthcare
aiTriage v2.0 validation abstract published in JACC
A JACC conference abstract reports on aiTriage v2.0 risk stratification in emergency department chest-pain patients.
Read at JACCCNA commentary examines AI in emergency care
Michael Dunn and Liu Nan discuss what patients should be told about AI's role in emergency care.
Read at CNA
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