Journal
FERTILITY AND STERILITY
Volume 120, Issue 1, Pages 32-37Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.fertnstert.2023.05.146
Keywords
artificial intelligence; electronic medical records; deep learning; assisted reproductive technology; in vitro fertilization
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Artificial intelligence has had a transformative impact on various aspects of healthcare, including image analysis and clinical decision making. Its gradual and deliberate evolution in medicine has raised questions about efficiency, privacy, and bias. In the field of assisted reproductive technologies, AI-based tools have the potential to impact informed consent, daily management of ovarian stimulation, oocyte and embryo selection, and workflow. However, careful and cautious implementation is needed to maximize outcomes and enhance the clinical experience for both patients and providers.
Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. These artificial intelligence-based tools have relevance to assisted reproductive technologies with opportunities to impact informed consent, dayto-day management of ovarian stimulation, oocyte and embryo selection, and workflow. However, implementation must be an informed, cautious, and circumspect process to maximize outcomes and improve the clinical experience for patients and providers alike. (Fertil Steril & REG; 2023;120:32-7.& COPY; 2023 by American Society for Reproductive Medicine.)
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