Last reviewed · How we verify
NCT04661488
Safety and Reliability of Artificial Intelligence Driven Symptom Assessment in Children and Adolescentes
trial testing AI driven triage-system in Artificial Intelligence in 1,000 participants. Status unknown.
1 June 2021
Quick facts
| Lead sponsor | Turku University Hospital |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000 |
| Start date | 1 December 2020 |
| Primary completion | 1 June 2021 |
| Estimated completion | 1 December 2021 |
Drugs / interventions tested
- AI driven triage-system
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Triage — all drugs for Triage →
Sponsor
Turku University Hospital
Who can join
Adults 0 to 17, any sex, with Artificial Intelligence or Triage. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Digital health technologies (DHT) are increasingly developed to support healthcare systems around the world. However, they are frequently lacking evidence-based medicine and medical validation. There is considerable need in the western countries to allocate healthcare resources accurately and give the population detailed and reliable health information enabling to take greater responsibility for their health. Intelligent patient flow management system (IPFM, product name Klinik Frontline) is developed to meet these needs. In practice, IPFM is used for decision support in the triaging and diagnostic processes as well as automatizing the management of inflow of the patients. The core of the IPFM is a clinical artificial intelligence (AI), which utilizes a comprehensive medical database of clinical correlations generated by medical doctors. The study population of this research consists of patients from the Paediatric Emergency Clinic of Turku University Hospital (TUH). Data will be gathered during 6 months of piloting, after which the results will be analysed. Anticipated number of patients to the study is minimum of 500 patients, with objective to be 1 000. When attending to the hospital, patients or their guardians will report their demographics, background information and symptoms using structured IPFM online form. Results obtained from IPFM are blinded from the healthcare professional and IPFM does not affect professional's clinical decision making. The data obtained from IPFM online form and clinical data from the emergency department and TUH will be analysed after the data collection. The main aim of the research is to validate the use of IPFM by evaluating the association of IPFM output with 1) urgency and severity of the conditions; and 2) actual diagnoses diagnosed by medical doctors. The main hypotheses of the research are that 1) IPFM is safe and sensitive in evaluating the urgency of the conditions of arriving patients at the emergency department and that 2) IPFM has sufficient correlation of differential diagnosis with actual diagnosis made by medical doctor.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT04661488
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Artificial Intelligence
Currently open trials in the same condition.
- NCT07257796 — Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score · recruiting
- NCT07308561 — The Relationship Between Quality of Life, Anxiety Levels, and Attitudes Toward Artificial Intelligence Among Women Under · recruiting
- NCT07261618 — AI-Assisted 2D Fetal Brain Ultrasound for Intracranial Anomaly Detection · active not recruiting
- NCT07098884 — Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos · recruiting
- NCT06978348 — Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology. · recruiting
Other Turku University Hospital trials
Trials by the same sponsor.
- NCT07488494 — Effective Implementation of the Physical Activity and Motor Skills Intervention for 3-6-year-old Children With Cancer (E · NA · not yet recruiting
- NCT07316868 — Neuroprotective Effect of Mild Hypothermia Versus Normothermia During Cardiopulmonary Bypass of Coronary Artery Surgery · NA · not yet recruiting
- NCT07306000 — Pilot Study: Effects of CCP Intervention on NICU Environment and Preterm Infants Development · NA · recruiting
- NCT07272824 — Usability Study of Gestational and Postpartum Weight Management Program · recruiting
- NCT07310472 — Administration of the Nasal Influenza Vaccine to Children in Daycare or at a Healthcare Facility · NA · recruiting
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 NCT04661488 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Turku University Hospital
- Last refreshed: 10 December 2020
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/NCT04661488.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing