Sponsors (3)
The bill directs sustained federal money and coordination to accelerate AI-driven pediatric cancer research and trials and to improve data infrastructure, trading meaningful potential gains in treatments and research capacity against elevated privacy, safety, governance, and taxpayer-cost risks.
Scientists, researchers, and hospitals get sustained federal funding (explicit $100M/year authorization through 2031) that enables long-term pediatric cancer AI projects and infrastructure.
Children with cancer are likely to see faster development of improved diagnostics and treatments because coordinated, AI-driven research and trials are prioritized and supported.
Patients and health systems could experience more efficient and more accessible clinical trials as AI is used for trial design and participant selection, potentially speeding enrollment and lowering barriers to participation.
Patients (including children with cancer) face increased privacy and civil‑liberties risks because consolidating and sharing health data for AI raises the chances of reidentification and creates concerns about government or central access if governance and safeguards are insufficient.
Children and patients could be harmed if AI systems used in clinical decision‑making or trial selection are biased or insufficiently validated, producing inaccurate or unsafe recommendations.
The new and ongoing federal spending increases taxpayer costs and could divert funds or attention from other health priorities.
Based on analysis of 2 sections of legislative text.
Establishes a federal Coordinator and directs HHS to integrate AI into the Childhood Cancer Data Initiative with new interoperability standards and authorized funding for FY2027–2031.
Official title: To better coordinate Federal efforts to utilize advance technologies, such as AI, to improve diagnoses, treatments, cures, and prevention strategies for pediatric cancer, and for other purposes.
Introduced July 9, 2026 by Michael T. McCaul · Last progress July 9, 2026
Creates a federal Coordinator of AI Innovation, placed in the Domestic Policy Council, to lead and align federal efforts to apply advanced technologies — including artificial intelligence — to improve diagnosis, treatment, prevention, and cure strategies for pediatric cancer. Directs HHS to integrate AI into the Childhood Cancer Data Initiative (CCDI), set interoperability standards for AI-usable patient data, protect individual health information control, and report to Congress within 180 days. Authorizes funding for FY2027–2031, including an unspecified amount (“such sums as necessary”) and an additional $100 million per year for CCDI-related AI activities, and defines AI by reference to existing federal law for consistency.