Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review.

Journal: International breastfeeding journal
PMID: 39639329

Abstract

BACKGROUND: Breastfeeding rates remain below the globally recommended levels, a situation associated with higher infant and neonatal mortality rates. The implementation of artificial intelligence (AI) could help improve and increase breastfeeding rates. This study aimed to identify and synthesize the current information on the use of AI in the analysis of human milk and breastfeeding.

Authors

  • Sergio Agudelo-Pérez
    Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia. sergioagpe@unisabana.edu.co.
  • Daniel Botero-Rosas
    Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
  • Laura Rodríguez-Alvarado
    Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
  • Julián Espitia-Angel
    Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
  • Lina Raigoso-Díaz
    Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.

Keywords

External Resources

Popular Topics
Recent Journals