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Artificial intelligence for embryo selection during in vitro fertilization

Artificial intelligence for embryo selection during in vitro fertilization

Status
Unknown
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20230130002
Enrollment
1200
Registered
2023-01-30
Start date
2022-11-21
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Infertile patients Artificial intelligence Embryo selection Morphological Istanbul machine learning

Interventions

Blastocyst images were obtained from infertile patients who underwent IVF from 2018-2023.
Other
Embryo imgaes

Sponsors

Reproductive biology unit, Faculty of Medicine, Chulalongkorn University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 50 Years

Inclusion criteria

Inclusion criteria: Blastocyst image from infertile women who underwent in vitro fertilization with single embryo transfer at King Chulalongkorn Memorial Hospital

Exclusion criteria

Exclusion criteria: Infertile women transfer > 1 embryo (blastocyst)

Design outcomes

Primary

MeasureTime frame
Pregnancy prediction 8 weeks clinical pregnancy rate—

Secondary

MeasureTime frame
Improvement rate 8 weeks % improvement—

Countries

Thailand

Contacts

Public ContactChanakarn Suebthawinkul

Faculty of Medicine, Chulalongkorn University

chanakarn.su@chula.ac.th0622455498

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026