RecruitingNot ApplicableNCT07515118

AI-TOP Study Artificial Intelligence for Trigger Optimization.

An Artificial Intelligence Based Approach for Selecting the Optimal Day for Triggering.


Sponsor

Fundacion Dexeus

Enrollment

644 participants

Start Date

Apr 8, 2026

Study Type

INTERVENTIONAL

Conditions

Summary

To evaluate, in a randomized controlled trial, whether AI-guided monitoring and ovulation triggering leads to clinical outcomes comparable to those achieved through physician-led decision-making in patients undergoing ovarian stimulation for IVF.


Eligibility

Sex: FEMALEMin Age: 18 YearsMax Age: 42 Years

Inclusion Criteria1

  • Undergoing COS for IVF with autologous oocytes, oocyte donation and elective fertility preservation with all monitoring USS (ultrasound scan) conducted at our centers.

Exclusion Criteria2

  • Medically indicated fertility preservation
  • Inability to attend clinic visits for monitoring.

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Interventions

DEVICESTIMAI®.

The AI algorithm used in this study is STIMAI®. STIMAI® is an artificial intelligence-based software that assists clinicians by providing data-driven insights to optimize the fertility treatment process and support conception. The software is designed as a clinical decision support tool and does not replace the physician's judgment; final clinical decisions will remain under the responsibility of the treating physician The physician will consult the AI application, which predicts the number of MII oocytes for different trigger days. If the algorithm recommends triggering today or tomorrow, the physician will choose which option to follow.

OTHERRoutine clinical management

As soon as 2-3 follicles of 17 mm are detected, the physician will determine the timing of ovulation triggering based on clinical judgment.


Locations(5)

Dexeus Mujer Sabadell

Sabadell, Barcelona, Spain

Dexeus Mujer Sant Cugat

Sant Cugat del Vallès, Barcelona, Spain

Dexeus Mujer Reus

Reus, Tarragona, Spain

Hospital Universitario Quiron Dexeus

Barcelona, Spain

Dexeus Mujer Tarragona

Tarragona, Spain

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NCT07515118


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