Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review

• Main Authors: Rawan AlSaad (Author), Alaa Abd-alrazaq (Author), Fadi Choucair (Author), Arfan Ahmed (Author), Sarah Aziz (Author), Javaid Sheikh (Author)
• Format: Book
• Published: JMIR Publications, 2024-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundIn the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient's response to ovarian stimulation can help in personalizin...