Last reviewed · How we verify
NCT04648449: AISMEC
Artificial Intelligence (AI) Support in Medical Emergency Calls
trial testing Artificial intelligence on emergency calls in Stroke, Acute in 1,000 participants. Participants enrolled and being followed up; not accepting new ones.
31 August 2026
Quick facts
| Lead sponsor | Haukeland University Hospital |
|---|---|
| Status | Active, enrolled |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000 |
| Start date | 1 September 2020 |
| Primary completion | 31 August 2026 |
| Estimated completion | 31 August 2026 |
| Sites | 1 location across Norway |
Drugs / interventions tested
- Artificial intelligence on emergency calls
Conditions studied
- Stroke, Acute — all drugs for Stroke, Acute →
- Apoplexy; Brain — all drugs for Apoplexy; Brain →
- Emergencies — all drugs for Emergencies →
- Communication, Multidisciplinary — all drugs for Communication, Multidisciplinary →
Sponsor
Haukeland University Hospital
Who can join
18 and older, any sex, with Stroke, Acute or Apoplexy; Brain. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
More than 12.000 patients suffer acute stroke in Norway every year, but less than half of them reach hospital within the current treatment window for thrombolysis. Stroke is the third-highest cause of death and the number one cause of severe disability requiring long time care at institutions. Consequently this has a high impact on society, patients and relatives, in addition to high costs related to care estimated to approximately 10 billion NOK per year. Although there are few studies on emergency medical communication centres (EMCC) in Norway, some have shown that the performance of the emergency medical communication centres can be improved. This project will seek to amend EMCC´s handling of acute stroke inquiries using artificial intelligence (AI), thus contributing to getting the patient to hospital in time for optimal treatments.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Stroke recognition in medical emergency calls: A novel sensitivity definition as a basis for developing artificial intelligence decision support
Iversen E, Ihle-Hansen H, Halle KK, Lundervold AS, et al · · 2024 · DOI 10.1101/2024.09.24.24314336
Verify or expand the search:
- PubMed search for NCT04648449
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
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Other Haukeland University Hospital trials
Trials by the same sponsor.
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- NCT07392697 — The Intravenous Amino Acid Therapy for Vascular Rigidity in End Stage Renal Disease · NA · not yet recruiting
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04648449 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Haukeland University Hospital
- Last refreshed: 22 September 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04648449.
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