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Ethical considerations in AI for child health and recommendations for child-centered medical AI
Seo Yi Chng1, Mark Jun Wen Tern2, Yung Seng Lee3
1Krsyma Medical AI Pte Ltd, Singapore, Singapore. drchngsy@krsyma.com.
Insights
This review addresses the lack of AI ethics guidelines in pediatrics, offering principles and recommendations for child-centered medical AI. It introduces the PEARL-AI framework to ensure ethical AI in children's healthcare.
Area of Science:
- Pediatric healthcare ethics
- Artificial Intelligence in medicine
- Clinical decision support systems
Background:
- Existing AI ethics frameworks primarily focus on adult medicine, leaving a gap in pediatric applications.
- There is a critical need for specific ethical guidelines and comprehensive reviews for artificial intelligence (AI) in child health.
- Current AI implementation in pediatrics lacks standardized ethical management protocols.
Purpose of the Study:
- To review and synthesize ethical principles relevant to AI in child health.
- To provide actionable recommendations for developing child-centered medical AI.
- To introduce a novel framework, the Pediatrics EthicAl Recommendations List for AI (PEARL-AI), for ethical AI implementation in pediatric care.
Main Methods:
- Comprehensive literature review of AI ethics in child health.
- Analysis of existing ethical principles and guidelines in medicine.
- Development of a structured framework (PEARL-AI) based on identified ethical considerations.
Main Results:
- Identification of key ethical challenges unique to AI in pediatric healthcare.
- Formulation of specific recommendations for child-centered AI design and deployment.
- Introduction of the PEARL-AI framework as a practical tool for stakeholders.
Conclusions:
- The development of ethical AI in child health requires dedicated principles and guidelines.
- The PEARL-AI framework offers a structured approach to ensure ethical AI use in pediatric medicine.
- Addressing AI ethics in pediatrics is crucial for safeguarding children's well-being in evolving healthcare landscapes.
Abstract:
There does not exist any previous comprehensive review on AI ethics in child health or any guidelines for management, unlike in adult medicine. This review describes ethical principles in AI for child health and provides recommendations for child-centered medical AI. We also introduce the Pediatrics EthicAl Recommendations List for AI (PEARL-AI) framework for clinicians and AI developers to ensure ethical AI enabled systems in healthcare for children.
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