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

What this Trial Is About

Researchers are investigating whether using artificial intelligence (AI) to guide monitoring and timing of ovulation trigger in women undergoing ovarian stimulation for in vitro fertilization (IVF) can achieve clinical outcomes similar to traditional physician-led decisions. This trial aims to compare AI-assisted decision-making with routine clinical management to optimize the number of eggs retrieved, improve workflow efficiency, and reduce clinical workload, especially weekend procedures. Participants will be randomly assigned to one of two groups: one where trigger decisions are made by the physician assisted by the AI software called STIMAI®, and the other where trigger timing is determined by the physician alone based on clinical judgement. The AI software analyzes patient data to predict the optimal trigger day, offering options for triggering today or tomorrow, while the physician makes the final decision. The study focuses on individualized treatment to improve outcomes and scheduling. During the study, participants will undergo controlled ovarian stimulation with regular monitoring including ultrasounds. Researchers will measure the number of mature eggs retrieved about 34-36 hours after ovulation trigger, as well as other outcomes like follicle counts, length of stimulation, and number of clinic visits. The trial also tracks spontaneous ovulation and the distribution of retrieval procedures throughout the week. Participation will last through the stimulation cycle until egg retrieval, with assessments of both clinical results and process efficiency.

AI-TOP Study Artificial Intelligence for Trigger Optimization.