Radiology Partners (RP), the largest technology-enabled radiology practice in the U.S., has announced a strategic partnership with Stanford Radiology’s AI Development and Evaluation (AIDE) Lab to advance the safety, reliability, and equity of artificial intelligence in medical imaging. The collaboration brings together RP’s extensive real-world experience in deploying AI across thousands of clinical sites through its Mosaic Clinical Technologies™ division and the AIDE Lab’s academic leadership in AI research and evaluation. The partnership aims to create practical, scalable frameworks for assessing and continuously monitoring AI tools in clinical settings. By combining RP’s operational expertise in integrating AI into daily radiology workflows with Stanford’s rigorous scientific approach, the teams will develop evidence-based methods for AI validation, transparency, and performance tracking that can be adopted by health systems worldwide. Dr. Nina Kottler, Chief Medical AI Officer for Mosaic Clinical Technologies™, emphasized the importance of bridging academic research with real-world implementation. She noted that the collaboration enables the translation of on-the-ground insights from RP’s AI deployments into peer-reviewed, reproducible research that supports safer and more effective AI use in radiology. Dr. David B. Larson, Co-Director of the AIDE Lab and Professor of Radiology at Stanford University, highlighted the shared mission of enhancing patient care through responsible AI. He stated that the partnership allows both organizations to leverage their unique strengths—Stanford’s research rigor and RP’s large-scale clinical integration—to develop practical solutions for the broader healthcare ecosystem. Research under the partnership will be conducted at Stanford University School of Medicine’s Department of Radiology and will involve active participation from RP radiologists and data science teams. The goal is to establish pragmatic guidelines for AI integration, including continuous monitoring systems that operate within live clinical environments powered by MosaicOS™, RP’s cloud-native, AI-native imaging platform. MosaicOS™ serves as the technological backbone of the collaboration, enabling seamless integration of diagnostic tools, AI algorithms, and intelligent workflows across RP’s national network of affiliated practices and commercial partners. The platform is designed to support innovation while ensuring consistency, quality, and scalability in enterprise imaging. Through this alliance, Radiology Partners and Stanford Radiology’s AIDE Lab are setting a new standard for how AI is evaluated and deployed in healthcare—ensuring that technological advancement goes hand in hand with patient safety, clinical effectiveness, and long-term sustainability.