Sirui Jiang, Syed Muhammad Awais Bukhari, Arjun Krishnan, Kaustav Bera, Avishkar Sharma, Danielle Caovan, Beverly Rosipko, Amit Gupta
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Deployment of Artificial Intelligence in Radiology: Strategies for Success.
Radiology, as a highly technical and information-rich medical specialty, is well-suited for artificial intelligence (AI) product development, and many FDA-cleared AI medical devices are authorized for uses within the specialty. In this Clinical Perspective, we discuss the deployment of AI tools in radiology, exploring regulatory processes, the need for transparency, and other practical challenges. We further highlight the importance of rigorous validation, real-world testing, seamless workflow integration, and end-user education. We emphasize the role for continuous feedback and robust monitoring processes, to guide AI tools' adaptation and help ensure sustained performance. Traditional standalone and alternative platform-based approaches to radiology AI implementation are considered. The presented strategies will help achieve successful deployment and fully realize AI's potential benefits in radiology.
期刊介绍:
Founded in 1907, the monthly American Journal of Roentgenology (AJR) is the world’s longest continuously published general radiology journal. AJR is recognized as among the specialty’s leading peer-reviewed journals and has a worldwide circulation of close to 25,000. The journal publishes clinically-oriented articles across all radiology subspecialties, seeking relevance to radiologists’ daily practice. The journal publishes hundreds of articles annually with a diverse range of formats, including original research, reviews, clinical perspectives, editorials, and other short reports. The journal engages its audience through a spectrum of social media and digital communication activities.