Last reviewed · How we verify
NCT04897178: MARS
Machine Learning-based Anomaly Recognition System
trial testing Ultrasound in Fetal Anomaly in 1,000 participants. Status unknown.
1 May 2022
Quick facts
| Lead sponsor | Assiut University |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000 |
| Start date | 1 June 2021 |
| Primary completion | 1 May 2022 |
| Estimated completion | 1 December 2023 |
| Sites | 2 locations across Egypt |
Drugs / interventions tested
- Ultrasound
Conditions studied
- Fetal Anomaly — all drugs for Fetal Anomaly →
Sponsor
Assiut University
Who can join
Adults 18 to 45, female only, with Fetal Anomaly. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
MARS is an artificial intelligence-powered system that aims at detecting common fetal anomalies during real-time obstetrics ultrasound. The current study comprises 2 stages: (1) The stage of model creation which will include retrospective collection of images from fetal anatomy scans with known diagnoses to train these model and test their diagnostic accuracy. (2) The stage of model validation through prospective application of this model to collected videos with known normal and abnormal diagnoses
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT04897178
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other recruiting trials for Fetal Anomaly
Currently open trials in the same condition.
- NCT03398629 — Diagnosis and Management of Intrauterine Growth Restriction and Congenital Anomalies · recruiting
Other Assiut University trials
Trials by the same sponsor.
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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 NCT04897178 (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 Assiut University
- Last refreshed: 25 May 2021
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/NCT04897178.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing