The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low- and Middle-Income Countries.

Journal: Reproduction & fertility
Published Date:

Abstract

ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking help. This paper explores how artificial intelligence (AI) and automation could help overcome some of these barriers and make fertility treatments more widely available. It examines how AI may improve the accuracy, efficiency, and consistency of different steps in fertility treatments, such as choosing the healthiest embryos, analyzing sperm, evaluating eggs, and planning treatment. The paper also discusses how automation could simplify laboratory procedures, from growing embryos and freezing them for future use to the possibility of fully automating the IVF process, which could help lower costs and make these treatments more accessible. Finally, this paper addresses the ethical and practical challenges associated with using these technologies, including potential biases in AI, equitable access, quality control, data privacy, job implications, and cultural sensitivities.

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.
  • 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.

Keywords

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