Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey.

Journal: Current opinion in obstetrics & gynecology
PMID: 38597425

Abstract

PURPOSE OF REVIEW: This review highlights the timely relevance of artificial intelligence in enhancing assisted reproductive technologies (ARTs), particularly in-vitro fertilization (IVF). It underscores artificial intelligence's potential in revolutionizing patient outcomes and operational efficiency by addressing challenges in fertility diagnoses and procedures.

Authors

  • Zoran J Pavlovic
    Department of Obstetrics and Gynecology/Reproductive Endocrinology and Infertility, University of South Florida, Morsani College of Medicine, 2 Tampa General Circle, 6th Floor, Suite 6022, Tampa, FL 33602, USA.
  • Victoria S Jiang
    Division of Reproductive Endocrinology and Infertility, Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Suite 10A, Boston, MA, 02114, USA. vjiang2@mgh.harvard.edu.
  • Eduardo Hariton
    Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.

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