Last reviewed · How we verify

NCT05342298: OCID

Assessment of Ovarian Cysts Using Machine Learning

Status unknown Last updated 23 August 2022
What this trial tests

trial testing prediction model in Ovarian Cyst in 1,000 participants. Status unknown.

Timeline
1 October 2022
Primary endpoint
1 June 2023
1 September 2023

Quick facts

Lead sponsorAssiut University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment1,000
Start date1 October 2022
Primary completion1 June 2023
Estimated completion1 September 2023
Sites2 locations across Egypt

Drugs / interventions tested

Conditions studied

Sponsor

Assiut University

Who can join

Adults 15 to 80, female only, with Ovarian Cyst. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The study aims at creating a prediction model using machine learning algorithms that is capable of predicting malignant potential of ovarian cysts/masses based on patient characteristics, sonographic findings, and biochemical markers

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other Assiut University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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/NCT05342298.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing