Radiology Partners, a leading technology-enabled radiology practice in the United States, and Stanford Radiology’s AI Development and Evaluation Lab have announced a strategic collaboration aimed at improving the safety and reliability of artificial intelligence in medical imaging. The partnership combines Radiology Partners’ expertise in implementing AI at scale through its Mosaic Clinical Technologies division with Stanford’s academic rigor and commitment to advancing evidence-based AI evaluation. Together, the organizations plan to develop research frameworks and monitoring methods that can be adopted across health systems nationwide and globally to ensure AI tools enhance patient care.
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Dr. Nina Kottler, Chief Medical AI Officer for Mosaic Clinical Technologies, highlighted the value of combining academic insight with real-world clinical experience. She explained that Stanford’s AIDE Lab brings unmatched thought leadership and scientific discipline to the study of AI in medicine. Pairing this with Radiology Partners’ operational experience creates the opportunity to develop practical systems for validating and monitoring AI that work in everyday clinical environments while generating evidence that benefits patients everywhere.
The partnership has already produced collaborative research focused on translating insights from Radiology Partners’ AI deployments into reproducible, peer-reviewed findings. These efforts aim to establish standards for transparency, quality assurance, and ongoing performance monitoring as AI tools evolve and expand in clinical practice.
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Dr. David B. Larson, Co-Director of the AIDE Lab and Professor of Radiology at Stanford University, emphasized that the collaboration advances a shared goal of ensuring AI supports rather than compromises patient care. He noted that combining Stanford’s academic capabilities with Radiology Partners’ practical experience allows the team to develop solutions that are both scientifically rigorous and operationally feasible for hospitals and imaging centers.
Research will take place at Stanford University School of Medicine’s Department of Radiology and will actively involve Radiology Partners’ radiologists and data science teams. The organizations aim to create actionable guidelines and performance frameworks that enable safer, more efficient, and scalable AI integration. The collaboration will also explore methods for continuous monitoring of AI tools in live clinical environments, leveraging Mosaic Clinical Technologies to ensure AI maintains accuracy, reliability, and equity while supporting radiologists and patient outcomes.
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