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Artificial intelligence in paediatrics: Current events and challenges
Brais Galdo1, Carla Pazos2, Jerónimo Pardo3
1Universidad 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.
Insights
Artificial intelligence (AI) enhances paediatric care through improved diagnosis, treatment, and prevention, aligning with the 7P medicine model. This technology offers significant potential for revolutionizing child healthcare and public health sustainability.
Area of Science:
- Pediatric Medicine
- Artificial Intelligence
- Health Informatics
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare.
- The 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral, Polyprofessional) offers a framework for modern healthcare.
- Paediatric care faces unique challenges in diagnosis, treatment, and resource management.
Purpose of the Study:
- To examine the application of AI in paediatric care.
- To evaluate AI's role within the 7P medicine model.
- To highlight AI's impact on paediatric disease management and public health sustainability.
Main Methods:
- Review of current AI applications in paediatric settings.
- Analysis of AI's contribution to diagnosis, treatment, and prevention in children.
- Case study presentation of successful AI implementation in paediatric care.
Main Results:
- AI demonstrates diverse applications in paediatric diagnosis, treatment, and disease management.
- AI contributes to preventive strategies and efficient healthcare resource management.
- Successful case examples illustrate AI's positive impact on paediatric care delivery.
Conclusions:
- AI has significant potential to improve paediatric care.
- Adoption of AI supports the transition towards a 7P medicine model in paediatrics.
- AI integration can enhance the sustainability of public health systems through improved paediatric healthcare.
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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