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Artificial intelligence in paediatrics: Current events and challenges.
Galdo, Brais; Pazos, Carla; Pardo, Jerónimo; Solar, Alfonso; Llamas, Daniel; Fernández-Blanco, Enrique; Pazos, Alejandro.
Afiliación
  • Galdo B; Universidad de A Coruña, A Coruña, Spain; INIBIC, A Coruña, Spain; RNASA-IMEDIR, A Coruña, Spain; Complexo Hospitalario Universitario de A Coruña, A Coruña, Spain; Avances en Telemedicina e Informática Sanitaria, A Coruña, Spain.
  • Pazos C; New Vision University, Faculty of Medicine, Tiflis, Georgia.
  • Pardo J; Complexo Hospitalario Universitario de A Coruña, A Coruña, Spain.
  • Solar A; Complexo Hospitalario Universitario de A Coruña, A Coruña, Spain.
  • Llamas D; INIBIC, A Coruña, Spain; Complexo Hospitalario Universitario de A Coruña, A Coruña, Spain; Avances en Telemedicina e Informática Sanitaria, A Coruña, Spain.
  • Fernández-Blanco E; Universidad de A Coruña, A Coruña, Spain; INIBIC, A Coruña, Spain; RNASA-IMEDIR, A Coruña, Spain; CITIC, A Coruña, Spain.
  • Pazos A; Medical University of Byalistok, Byalistok, Podlaquia, Poland. Electronic address: alejandro.pazos@udc.es.
An Pediatr (Engl Ed) ; 100(3): 195-201, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38461129
ABSTRACT
This article examines the use of artificial intelligence (AI) in the field of paediatric care within the framework of the 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral and Polyprofessional). It highlights various applications of AI in the diagnosis, treatment and management of paediatric diseases as well as the role of AI in prevention and in the efficient management of health care resources and the resulting impact on the sustainability of public health systems. Successful cases of the application of AI in the paediatric care setting are presented, placing emphasis on the need to move towards a 7P health care model. Artificial intelligence is revolutionizing society at large and has a great potential for significantly improving paediatric care.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Child / Humans Idioma: En Revista: An Pediatr (Engl Ed) Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Child / Humans Idioma: En Revista: An Pediatr (Engl Ed) Año: 2024 Tipo del documento: Article País de afiliación: España