Personalized Medicine and Artificial Intelligence in Ovarian Stimulation Protocols for Female Infertility: A Review Article

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Shafti Vida; Azarboo Alireza

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Journal Paper

Paper Information

Journal: SAREM JOURNAL OF REPRODUCTIVE MEDICINE Year:2024 | Volume:9 | Issue:4 Page(s): 231-237

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Title

Personalized Medicine and Artificial Intelligence in Ovarian Stimulation Protocols for Female Infertility: A Review Article

Author(s)

Shafti Vida | Azarboo Alireza | Issue Writer Certificate

Keywords

Artificial Intelligence

Personalized Medicine

Decision Support Systems

Abstract

2Introduction: In vitro fertilization (IVF) assisted by artificial intelligence (AI) is a rapidly evolving research field. This approach enhances ovarian stimulation outcomes and efficiency, personalizes drug dosage and timing, and streamlines the IVF process, ultimately leading to improved clinical outcomes.
Materials and Methods: This study was conducted as a systematic review. Relevant literature was retrieved from reputable scientific databases, including PubMed, Scopus, Web of Science, and Google Scholar. Articles published between 2010 and 2024 on personalized medicine, AI, and ovarian stimulation protocols in female infertility were reviewed. The selected keywords included "artificial intelligence," "personalized medicine," "ovarian stimulation," "female infertility," "IVF treatment," "clinical decision-making," and "decision support systems." Studies were screened based on predefined inclusion and exclusion criteria, encompassing original research articles, clinical trials, systematic reviews, and meta-analyses. Data from the selected studies were extracted and analyzed to identify current trends, potential applications, advantages, challenges, and future directions for integrating AI into ovarian stimulation protocols. Furthermore, the role of advanced technologies such as machine learning (ML), artificial neural networks (ANN), and clinical decision support systems (CDSS) in optimizing the IVF process was examined.
Conclusion: This review aimed to provide an overview of the role of personalized medicine and AI in ovarian stimulation protocols for infertility treatment. This innovative approach not only plays a crucial role in IVF clinics but also enhances treatment outcomes and reduces pregnancy-related complications.

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