Ovarian Stimulation Outcomes During a GnRH Antagonist Protocol for In-vitro Fertilization When Comparing Trigger Day Decision by Physicians Versus an Artificial Intelligence-based Algorithm.

FertilAI

Status: Enrolling

Conditions: IVF Outcomes

Treatments: Other: Artificial intelligence-based algorithm

Study type: Interventional

Funder types: Industry

Identifiers

NCT07110285

0015-23-HMC

Details and patient eligibility

About

To compare the number of mature oocytes following a GnRH antagonist in-vitro fertilization stimulation cycle when comparing trigger day timing decision by physicians versus an artificial intelligence-based algorithm

Full description

Examination of all patients undergoing an ovarian stimulation cycle utilizing the GnRH antagonist protocol for oocyte cryopreservation or for fertilization via intracytoplasmic sperm injection (ICSI) (any treatment where oocytes are denuded and maturity may be assessed). The number of mature oocytes will be compared between cycles where trigger day timing was decided by the treating physician versus an artificial intelligence-based algorithm.

Enrollment: 180 estimated patients

Sex: All

Ages: 18 to 45 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• All patients undergoing an ovarian stimulation cycle utilizing the GnRH antagonist protocol for oocyte cryopreservation or for fertilization via intracytoplasmic sperm injection (ICSI) (any treatment where oocytes are denuded and maturity may be assessed).

Exclusion criteria

• Loss to follow-up, patient retracts consent to participate

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

---

180 participants in 2 patient groups

Physician-based trigger day timing decision

No Intervention group

Description:

Trigger day timing is decided on by the treating physician

Artificial intelligence-based algorithm trigger day timing decision

Experimental group

Description:

Trigger day timing decision by an artificial intelligence-based algorithm

Treatment:

Other: Artificial intelligence-based algorithm