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NCT05671601

Application of Deep Learning to Jointly Assess Embryo Development to Improve Pregnancy Outcome of Embryo Transfer

Status unknown Last updated 4 January 2023
What this trial tests

trial testing Automatic picture recognition in Reproductive Medicine in 100 participants. Status unknown.

Timeline
30 December 2022
Primary endpoint
15 December 2023
15 June 2024

Quick facts

Lead sponsorThe Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment100
Start date30 December 2022
Primary completion15 December 2023
Estimated completion15 June 2024

Drugs / interventions tested

Conditions studied

Sponsor

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Who can join

Adults 20 to 40, female only, with Reproductive Medicine. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Aim of this research is to apply the deep learning automation based on Time-lapse imaging to jointly assess embryo development,so that it can ensure the consistency of embryo evaluation and improve the accuracy of evaluation.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School trials

Trials by the same sponsor.

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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/NCT05671601.

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