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NCT06187350: AIM-RÖ
The Use of AI to Safely Reduce the Workload in Breast Cancer Screening With Mammography in Region Östergötland
trial testing AI cancer detection system in Artificial Intelligence in 60,000 participants. Completed in 20 March 2025.
20 March 2025
Quick facts
| Lead sponsor | Ostergotland County Council, Sweden |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 60,000 |
| Start date | 1 August 2023 |
| Primary completion | 20 March 2025 |
| Estimated completion | 20 March 2025 |
| Sites | 1 location across Sweden |
Drugs / interventions tested
- AI cancer detection system
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Breast Diseases — all drugs for Breast Diseases →
- Neoplasms — all drugs for Neoplasms →
- Breast Neoplasms — all drugs for Breast Neoplasms →
Sponsor
Ostergotland County Council, Sweden
Who can join
Adults 40 to 74, female only, with Artificial Intelligence or Breast Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The overall aim of the project is to investigate how artificial intelligence (AI) can be used to streamline and at the same time increase diagnostic safety in breast cancer screening with mammography. AI has been shown in a number of studies to have great potential for both increasing diagnostic certainty (e.g. reduced occurrence of interval cancers) and at the same time reducing the workload for doctors. However, much research remains to clinically validate these new tools and to increase the understanding of how they affect the work of doctors. The specific goal of the project is to investigate whether the implementation of AI in breast cancer screening in Östergötland, Sweden, can increase the sensitivity (the mammography examination's ability to find breast cancer) and the specificity (that is, the right case is selected for further investigation: a minimum of healthy women are recalled but so many breast cancer cases that are possible are selected for further investigation) and at the same time make screening more efficient through reduced workload. AI will be implemented in the clinical routine and performance metrics such as cancer detection rate etc will be closely monitored. The study do not assign specific interventions to the study participants.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06187350
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of AI cancer detection system
Trials testing the same drug.
- NCT05048095 — Artificial Intelligence in Breast Cancer Screening in Region Östergötland Linkoping · completed
Other recruiting trials for Artificial Intelligence
Currently open trials in the same condition.
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- NCT06978348 — Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology. · recruiting
Other Ostergotland County Council, Sweden trials
Trials by the same sponsor.
- NCT07254039 — AI-Assisted Saliva Diagnostics Using an Electrochemical Sensor Platform for Periodontitis Detection (SALIENCE) · not yet recruiting
- NCT07007507 — Attendance and Adherence to Aerobic Exercise After Stroke · NA · completed
- NCT06070181 — Effectiveness of Adjunctive Therapy of Emdogain®FL in Non-surgical Periodontal Treatment · NA · recruiting
- NCT05709392 — Preterm DElayed Cord Clamping and Early Skin-to-Skin Contact: PreDECESS · NA · recruiting
- NCT05048095 — Artificial Intelligence in Breast Cancer Screening in Region Östergötland Linkoping · completed
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 NCT06187350 (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 Ostergotland County Council, Sweden
- Last refreshed: 6 June 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/NCT06187350.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing