RSNA President Outlines Six Strategies for an AI-Enhanced Future
Radiology Business
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Contributed by: Kate Gamble
Summary
In his address at the Radiological Society of North America's 110th Scientific Assembly, President Curtis P. Langlotz, MD, PhD, discussed the key components needed to advance artificial intelligence (AI) in medical imaging, including: eliminating the use of discs, promoting interoperability between systems, enhancing radiologist training in AI technologies, fostering collaboration among healthcare teams, and advocating for clear regulatory frameworks governing AI in radiology. By adopting these strategies, Langlotz believes the integration of AI in medical imaging can lead to improved patient outcomes and more efficient radiological practices.
