Radiology Business December 16, 2024
RSNA discussions centered around how generative AI can take dictated notes, using them to generate radiology reports more quickly and speed up turnaround times. Hanneman expects such technology will see increased adoption in the near future.
However, she emphasized the need for further evaluation, particularly regarding how AI models perform in diverse clinical environments beyond their training datasets.
In other areas of AI, algorithms are being used to streamline imaging workflows and reduce scan times, which has made a big impact on MRI. Hanneman anticipates continued advancements in AI, particularly in cardiac imaging, like automated cardiac MR protocoling and accelerated image acquisition.
This helps address the growing technologist workforce shortages and rising demand for MRI, she said. AI also...
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