Increased investment in pediatric cancer research and care infrastructure may improve health outcomes. The use of AI with pediatric cancer research has stalled in part due to data privacy concerns. Without safeguards in place, health data sharing runs the risk of being misused (e.g., sensitive information leaked) or may result in deterring patients seeking support who do not want their information shared.
Patients and families stand to benefit from more accurate diagnosis and better-targeted treatments, but they also face heightened privacy and consent complexities. Researchers, clinicians, healthcare professionals, payers, and government agencies gain powerful new data and collaboration opportunities, but must absorb added burdens in data governance, regulatory compliance, infrastructure investment, and model validation to ensure safe and equitable deployment.
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