NCT05699850

Brief Summary

Many studies have been published investigating the use of AI as an unbiased, automated approach to embryo assessment. This review will summarize the recent AI advancements in the IVF field. Hopefully, that incorporating AI technology into the IVF clinics may be the next frontier in the journey towards personalised reproductive medicine and improved fertility outcomes for patients.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
10

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Nov 2022

Shorter than P25 for all trials

Geographic Reach
1 country

2 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2022

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

January 17, 2023

Completed
9 days until next milestone

First Posted

Study publicly available on registry

January 26, 2023

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2023

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2023

Completed
Last Updated

January 26, 2023

Status Verified

January 1, 2023

Enrollment Period

4 months

First QC Date

January 17, 2023

Last Update Submit

January 17, 2023

Conditions

Keywords

ARTIFICIAL INTELLIGENCE (AI)IVFART

Outcome Measures

Primary Outcomes (1)

  • SUCCESS RATE

    ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN REPRODUCTIVE MEDICINE

    4 MONTHS

Interventions

ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN REPRODUCTIVE MEDICINE

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

those people coming for fertility clinics

You may qualify if:

  • fertility related

You may not qualify if:

  • fertile people

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Al-Azhar university

Cairo, 12358, Egypt

RECRUITING

Kamal Eldin Abdalla Rageh

Cairo, 15006, Egypt

RECRUITING

MeSH Terms

Interventions

Artificial Intelligence

Intervention Hierarchy (Ancestors)

AlgorithmsMathematical Concepts

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
consultant Doctor

Study Record Dates

First Submitted

January 17, 2023

First Posted

January 26, 2023

Study Start

November 1, 2022

Primary Completion

March 1, 2023

Study Completion

April 1, 2023

Last Updated

January 26, 2023

Record last verified: 2023-01

Locations