Smartphone AI help for prehospital ECG readings
Official title: AI & Prehospital ECG Analysis: A Randomized Controlled Trial of a Smartphone Large Language Model for Occlusion Myocardial Infarction Detection by Prehospital Providers
Run by École Supérieure de Soins Ambulanciers - College of Higher Education in Prehospital Care · NCT07810686 · Data updated 2026-11-12
This study tests whether using a smartphone AI (GPT-4o) to help prehospital providers read 12-lead ECGs improves accuracy in diagnosing acute coronary syndromes and related conditions.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 144 (estimated) |
| Sponsor | École Supérieure de Soins Ambulanciers - College of Higher Education in Prehospital Care Academic / other |
| Locations | 1 site (Murten/Morat, Canton of Fribourg) |
| Status | Recruiting |
| Started | September 2, 2026 |
| Main results expected | November 30, 2026 |
| Study ends | November 30, 2026 |
| Registry record updated | September 9, 2026 |
| Trial ID | NCT07810686 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Prehospital care providers practicing in French-speaking Switzerland who can read French reliably and consent to participate.
✕Probably not a fit
Providers not involved in prehospital care or lacking fluency in French may derive no benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This randomized two-arm trial compares prehospital clinicians’ ability to interpret ECG vignettes with and without mandatory use of a version-locked smartphone AI. Participants include paramedics, emergency medical technicians, nurses, and physicians in French-speaking Switzerland, who answer a sequence of 14 clinical vignettes. The intervention arm must use the AI tool before submitting each answer, with a fixed prompt and no option to add context or questions. The study comprises an in-person phase at a prehospital conference and a follow-up phase across French-speaking Swiss emergency services, with automated 1:1 randomization and blinded vignette order to minimize bias.
Why it matters
Potential benefit: If successful, the AI aid could reduce misdiagnosis of occlusion myocardial infarction and unnecessary catheter activations by supporting rapid, consistent ECG interpretation in prehospital settings.
How similar studies have gone: Previous work suggests AI assistance can influence diagnostic interpretation in time-pressured settings, but this trial provides direct randomized evidence for a version-locked smartphone LLM in prehospital ECG interpretation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Prehospital care provider practising in French-speaking Switzerland * Any level of training: emergency medical technician, paramedic (ES), nurse (ES/HES) in prehospital emergency care, or prehospital emergency physician * Electronic informed consent signed before randomization Exclusion Criteria: * Cardiologist * Any person not practising in prehospital care * Insufficient command of written French to answer the vignettes reliably * Refusal to participate or withdrawal of consent
Where it's running
-
Caserne des pompiers de Morat (Swiss French-speaking prehospital clinical research conference)
Murten/Morat, Canton of Fribourg, Switzerland Recruiting
Study contacts
- Study coordinator: Laurent Bourgeois
- Email: laurent.bourgeois@edu.ge.ch
- Phone: +41 22 388 34 04
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.