AI support in emergency medicine helps doctors make differential diagnoses
Official title: Evaluation of AI Support for Differential Diagnosis in Emergency Medicine.
Run by Region Stockholm · NCT07766863 · Data updated 2026-11-12
This study tests whether a generative AI tool can help emergency doctors arrive at more accurate differential diagnoses for adult patients at Karolinska University Hospital.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Region Stockholm Government |
| Locations | 1 site (Stockholm, Huddinge) |
| Status | Recruiting |
| Started | June 8, 2026 |
| Main results expected | June 2029 |
| Study ends | June 2029 |
| Registry record updated | August 17, 2026 |
| Trial ID | NCT07766863 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults over 18 presenting to the ED at Karolinska University Hospital (Huddinge or Solna) with available final diagnosis data.
✕Probably not a fit
Patients for whom final diagnoses are unclear or not well represented in the available data may not benefit from AI assistance.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study prospectively collects emergency department cases where physicians assess patients with or without AI-supported differential diagnoses. Cases are randomized to AI-assisted or AI-free evaluation, and the resulting differential lists are compared to the final discharge diagnosis. The AI tool provides a structured list of likely diagnoses based on the initial assessment data. Analyses examine changes in diagnostic accuracy and decision-making across different clinical scenarios and information quality. The study accounts for variability in case complexity and information availability to understand AI’s impact.
Why it matters
Potential benefit: If successful, AI support could help clinicians generate more accurate differential diagnoses and improve diagnostic confidence in emergency care.
How similar studies have gone: Preliminary pilot work suggests good agreement between AI-supported diagnoses and final clinical assessments, but broader validation in routine ED practice is ongoing.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult patients \>18 years admitted through the emergency departments at Karolinska University Hospital in Huddinge and Solna. Exclusion Criteria: * Children \<18 years * Patients without a recorded final diagnosis
Where it's running
-
Karolinska University Hospital
Stockholm, Huddinge, Sweden Recruiting
Study contacts
- Study coordinator: Maria Ygland Rödström, PI
- Email: maria.ygland.rodstrom@ki.se
- Phone: +46 702653628
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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.