Stanford's Doctor Mello Advocates for Stronger AI Governance in Healthcare

The U.S. House Committee on Energy and Commerce convened on September 4, 2025, to explore the potential of artificial intelligence (AI) in advancing American health care. The meeting highlighted both the opportunities and challenges presented by AI technologies in the medical field.

Key discussions centered on the need for robust policies and regulations to foster trust in AI applications. Experts emphasized that while innovation in AI is thriving, its adoption in health care remains limited due to a "trust deficit." Dr. Mello from Stanford University pointed out that many health care organizations do not adequately vet or monitor AI tools, leading to apprehension among clinicians and patients. She proposed that the government should require health care entities to assess and disclose the risks associated with AI tools, thereby enhancing accountability.

Dr. Mello also suggested that the federal government could support independent research on AI performance and adapt reimbursement policies to encourage the adoption of effective AI solutions, particularly in underserved communities. Furthermore, she called for modernizing the Food and Drug Administration (FDA) to better facilitate the evaluation and deployment of AI technologies in health care.

Dr. Vail Wright, representing the American Psychological Association, echoed the importance of ethical oversight in AI development. She highlighted the potential of AI to improve diagnostic accuracy and expand access to mental health care, especially in light of workforce shortages. However, she cautioned that AI could exacerbate existing health inequities if not carefully managed. Dr. Wright noted the prevalence of unregulated AI tools in the consumer market, which could pose risks to patients.

Both experts urged the committee to advance legislation that prioritizes ethical considerations, equity, and evidence-based practices in the integration of AI into health care. The discussions underscored a collective optimism about AI's potential to transform health care, tempered by a recognition of the critical need for responsible governance and oversight to ensure patient safety and trust.