Artificial intelligence and pediatric imaging data: ethical strategies for learning and collaboration

Area of Science:

• Pediatric Radiology
• Medical Artificial Intelligence
• Healthcare Ethics

Background:

• Artificial intelligence (AI) offers potential advancements in pediatric radiology, improving diagnostic accuracy and treatment outcomes.
• The unique characteristics of pediatric imaging data present specific challenges for AI development and implementation.
• Ethical considerations, including transparency, accountability, and bias mitigation, are paramount in AI integration.

Purpose of the Study:

• To review the critical considerations for integrating artificial intelligence (AI) into pediatric radiology.
• To highlight the challenges and ethical implications associated with AI in pediatric imaging.
• To emphasize the need for an interdisciplinary and collaborative approach involving all stakeholders.

Main Methods:

• Literature review focusing on the intersection of AI, pediatric radiology, and ethical guidelines.
• Analysis of challenges including regulatory hurdles, data bias, and the necessity of human oversight.
• Discussion of the required skills and training for pediatric radiologists to effectively evaluate AI tools.

Main Results:

• Successful AI integration requires a transparent, accountable, and collaborative framework among developers, clinicians, and regulatory bodies.
• Addressing bias in AI algorithms and ensuring human oversight are critical for pediatric imaging applications.
• Pediatric radiologists need specialized education in AI to critically assess its outputs and limitations.

Conclusions:

• A coordinated, interdisciplinary effort involving patients and families is essential for the safe and effective use of AI in pediatric radiology.
• Prioritizing the long-term safety and health of young patients must guide the integration of AI in pediatric imaging.
• Continuous education and training are vital for pediatric radiologists to navigate the evolving landscape of AI in their field.