June 16, 2026 · Radiology · DOI: 10.1148/radiol.252225

Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice Demonstration

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The authors investigate how interoperability and semantic standards can enhance the integration of artificial intelligence (AI) into radiology workflows, as demonstrated through the Radiology Reimagined initiative at the RSNA Annual Meeting. They highlight the evolution of clinical scenarios and the collaboration between radiology and industry partners to promote the adoption of standards like DICOM and FHIR. The study aims to provide practical insights for facilitating AI integration in clinical settings while addressing the challenges encountered.

Albert Jiao, Mohannad Hussain, Teri Sippel Schmidt, Kent Hutson, Kirti Magudia, Walter Wiggins, Alysha Dhami, Ali Tejani, Nahyun Jo, Madhavi Duvvuri, Namita Gandhi, Luciano Prevedello, Marta E Heilbrun, Katherine P Andriole

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