30 March 2025, Poland
1. Introduction
The dissemination event held at the Cardinal Stefan Wyszyński University in Warsaw gathered law students from the Faculty of Law and Administration for a thought-provoking discussion on the intersection of artificial intelligence (AI) and pediatric healthcare with the biggest attention to the law aspects of medical devices driven by AI. The event featured a lecture titled AI-Driven Medical Devices Used by Children – are we on the verge of immortality? The lecture aimed to explore the potential and risks associated with AI-driven medical technology designed for pediatric use, while also considering legal and ethical implications.
The presentation was structured into four key sections:
- An overview of AI-driven medical devices;
- The benefits and possibilities AI offers to healthcare;
- The risks and challenges associated with medical devices driven by AI;
- Closing remarks with legal and regulatory considerations.
2. The Rise of AI-Driven Medical Devices for Children
The integration of AI in pediatric medical devices marks a transformative shift in healthcare. These technologies provide enhanced diagnostic accuracy, personalized treatments, and even life-extending possibilities. However, they also introduce significant challenges in terms of liability, data privacy, accessibility, and ethics. Lawyers and regulators must address these complexities to ensure that AI benefits all children safely and equitably.
Applications of AI in Pediatric Healthcare
AI is increasingly influencing pediatric healthcare across several fields, including:
- Radiology: AI-powered imaging tools can enhance the early detection of diseases.
- Genetics: AI can assist in diagnosing rare genetic disorders.
- Healthcare Access: AI systems enable improved healthcare delivery in underprivileged regions where access to specialized pediatricians is limited.
Beyond healthcare, AI impacts children’s well-being through digital platforms. Social media and streaming services leverage AI-driven recommendation algorithms, which often prioritize engagement over content quality. Excessive screen time has been linked to developmental issues, obesity, learning disabilities, and behavioral disorders, raising concerns about the long-term impact of AI on child development.
3. Market Potential and Industry Challenges
Currently, there are nearly two billion young people worldwide, with 40% of the global population under 24. Despite this, pediatric medical devices lag behind their adult counterparts by approximately ten years. The global medical device market is projected to grow from an estimated USD 455 billion in 2021 to USD 658 billion in 2028. Unfortunately medical devices for children are not the priority for the producers. Pediatric medical devices remains a secondary focus. Pediatricians and surgeons often have to adapt adult devices for children, exposing them to potential risks and inefficiencies.
Barriers to Pediatric AI-Driven Medical Device Development
The development and deployment of AI-driven pediatric medical devices face significant hurdles, which can be categorized as follows:
- Ethical Barriers: Children, as a vulnerable population, cannot fully comprehend medical risks and thus cannot provide informed consent for clinical trials.
- Clinical Barriers: Children’s constantly changing physiology and cognitive development pose challenges in device design, requiring adaptive technologies.
- Regulatory Barriers: Small sample sizes and age heterogeneity in pediatric trials make obtaining reliable safety data difficult. Regulatory agencies often impose stricter approval standards for pediatric devices.
- Financial Barriers: Pediatric medical devices represent a smaller market segment, making it difficult for innovators to secure investment and achieve sustainable commercialization.
Moreover, the existing European Medical Device Regulation (MDR) and relevant ISO standards do not differentiate between pediatric and adult medical devices in terms of safety and biocompatibility assessments.
4. Legal and Ethical Considerations
As AI-driven medical devices become more prevalent, it is crucial to ensure that they benefit children across different socioeconomic backgrounds. A major concern is that AI-based treatments and diagnostics might be accessible only to wealthier families, exacerbating global healthcare disparities.
Privacy and Data Protection
AI medical devices collect vast amounts of sensitive pediatric health data, raising concerns regarding:
- Data misuse and commercialization
- Cybersecurity vulnerabilities
- Potential violations of child autonomy
- Lack of clear regulations on biometric and genetic data use in children
In some regions, AI-driven pediatric treatments remain legally unregulated, leading to cross-border legal conflicts when AI medical devices do not align with international regulatory standards.
Liability Issues
Traditional medical liability laws are based on human error. However, with AI, liability becomes unclear:
- If an AI system fails to diagnose an illness, should legal responsibility fall on the physician, the hospital, or the manufacturer?
- If AI improves diagnostic accuracy, could physicians be held liable for failing to use AI-assisted tools?
- The „black-box” nature of AI complicates legal accountability, as current laws require medical decisions to be explainable.
AI and Life Extension: A Legal Dilemma
AI-driven medical technologies offer the potential for significant lifespan extension in children with chronic or terminal conditions. However, key ethical and legal questions arise:
- Who has the right to decide whether a child receives AI-enabled longevity treatments—parents, doctors, or government authorities?
- Could disparities in access to these treatments violate medical equality principles?
5. UNICEF’s Policy Guidance on AI and Children’s Rights
In 2021, UNICEF developed policy guidance to ensure that AI systems uphold children’s rights. The key recommendations include:
- Ensuring AI promotes child development and well-being.
- Involving children in the design and development of AI healthcare systems.
- Prioritizing fairness, non-discrimination, and equitable access in AI healthcare.
- Strengthening data protection laws for children’s health data.
- Establishing safety measures for AI-driven medical technologies.
- Enhancing transparency, explainability, and accountability in AI healthcare.
- Educating policymakers and businesses on AI and children’s rights.
- Creating an enabling environment for ethical AI implementation in pediatric healthcare.
6. Conclusion and Recommendations
While AI-driven medical devices present groundbreaking opportunities for pediatric healthcare, they also challenge existing legal frameworks. Policymakers and legal experts must address key challenges, including:
- Defining clear liability rules for AI medical errors.
- Strengthening pediatric data protection laws to prevent data misuse and exploitation.
- Developing international AI health standards to avoid regulatory gaps and disparities.
- Ensuring ethical oversight for AI-driven longevity treatments.
- Guaranteeing equal access to life-extending AI healthcare technologies.
The legal system must adapt to AI-driven medical advancements while prioritizing children’s rights, privacy, and safety. Through balanced regulation and ethical oversight, society can harness AI’s potential in pediatric medicine while mitigating its risks.
This event successfully raised awareness among law students about the critical legal and ethical implications of AI-driven pediatric medical devices. It provided an opportunity for future legal professionals to engage in discussions that will shape the future of AI in healthcare policy and regulation.
