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The Radiological Society of North America (RSNA) has published a feature article reflecting takeaways and insights from plenary speakers who highlighted the opportunities and challenges AI brings to radiology during the recent RSNA 2024.
In an opening address, RSNA 2024 president Curtis P. Langlotz explored the transformative role of AI in radiology, emphasizing its ability to forge connections between machines and humans. “Forming intelligent connections from machine to machine, human to machine, and human to human will lead us to an exciting future,” Langlotz noted. “These intelligent connections will yield amazing technological innovations, with reduced stress, a more balanced life, and ample time to nurture the most intelligent connections of all: the ones we build with each other.”
One session covered the shift from AI tools focused on analyzing single data types, like scans, to systems that integrate a wide range of patient data. Within the radiology field, AI tools can alleviate radiologists’ workload by automating mundane tasks, reducing burnout, and enhancing care delivery in underserved areas.