RSNA Summit Sets Priorities for AI in Radiology
Artificial intelligence (AI) holds great promise for improving patient care in radiology, but deployment of the technology also poses challenges. RSNA hosted a two-day summit in Fall 2018 that convened stakeholders from radiology, industry and government agencies to prioritize goals and strategic direction for the development of AI solutions in radiology.
Findings from the summit, held at RSNA headquarters in Oak Brook, IL, are available in a special report in the RSNA journal, Radiology: Artificial Intelligence.
The stakeholders noted RSNA’s existing leadership role in the AI space and the Society’s ability to be the catalyst in moving AI in radiology forward for the benefit of patients. The group identified data collection and curation as a top priority for developing viable AI tools for medical imaging. The development of algorithms requires scalable and efficient systems to manage discovery, collection, curation, transfer and manipulation of large, multi-center data sets.
Another priority identified by summit participants is education, particularly across disciplines. Stakeholders noted a communication gap between radiologists and the data scientists who develop AI algorithms. Education initiatives including online courses, in-person training and journal articles can help close the gap and encourage collaboration.
Additionally, the group identified AI deployment in clinical practice, quality assurance and ethical considerations as critical to the successful adoption of AI in radiology. The summit participants recognized several opportunities for RSNA to guide the process and contribute to improved patient care.
RSNA is well-positioned to convene disparate stakeholders in order to promote AI adoption in medical imaging. The Society continues to lead successful initiatives including presenting AI Spotlight Courses around the world, hosting an annual machine learning challenge to build algorithms that provide imaging solutions and launching the new journal Radiology: Artificial Intelligence. The RSNA annual meeting provides a unique opportunity to bring together AI industry representatives with radiology researchers, educators and clinicians to learn and collaborate.
To learn more about the RSNA AI Summit and the recommendations read the full report here.