Artificial Intelligence in Human Reproduction.

Journal: Archives of medical research
PMID: 39615376

Abstract

The use of artificial intelligence (AI) in human reproduction is a rapidly evolving field with both exciting possibilities and ethical considerations. This technology has the potential to improve success rates and reduce the emotional and financial burden of infertility. However, it also raises ethical and privacy concerns. This paper presents an overview of the current and potential applications of AI in human reproduction. It explores the use of AI in various aspects of reproductive medicine, including fertility tracking, assisted reproductive technologies, management of pregnancy complications, and laboratory automation. In addition, we discuss the need for robust ethical frameworks and regulations to ensure the responsible and equitable use of AI in reproductive medicine.

Authors

  • Gerardo Mendizabal-Ruiz
    Universidad de Guadalajara, Departamento de Ciencias Computacionales, Guadalajara, PC, 44430, Mexico.
  • Omar Paredes
    IVF 2.0 Ltd, London, UK; Biodigital Innovation Lab, Translational Bioengineering Department, CUCEI, Universidad de Guadalajara, Mexico.
  • Ángel Álvarez
    Conceivable Life Sciences, Department of Research and Development, Guadalajara, Jalisco, Mexico; Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Fátima Acosta-Gómez
    Conceivable Life Sciences, Department of Research and Development, Guadalajara, Jalisco, Mexico; Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Estefanía Hernández-Morales
    Conceivable Life Sciences, Department of Research and Development, Guadalajara, Jalisco, Mexico; Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Josué González-Sandoval
    Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Celina Mendez-Zavala
    Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Ernesto Borrayo
    Laboratorio de Innovación Biodigital, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
  • Alejandro Chavez-Badiola
    New Hope Fertility Center Mexico, Research and Development, Guadalajara, PC, 44630, Mexico. drchavez-badiola@nhfc.mx.

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