Toronto– AI Algorithms and Large Language Models (LLMs) in Nuclear Medicine Talked about the emergence of

Bradshaw noted that nearly every application of AI in radiology is also happening in nuclear medicine, including image enhancement, disease detection, isolating pathology for automated quantification, and improving workflow.

“We’re seeing everything presented at this meeting. In fact, I’d say we’re also seeing the maturity of these tools this year,” he said.

Ultimately, no, ChatGPT cannot start an IV line, Bradshaw said, but he raised the question at a June 8 session for nuclear medicine technologists to introduce them to the concepts and history of LLMs. Nonetheless, he envisions “chatbots” powered by LLMs in the near future that nuclear medicine clinicians will be able to interact with to improve protocols and navigate complex electronic medical records.

For nuclear medicine, perhaps most excitingly, LLMs should be poised to become truly “multimodal models” in the next few years—not in terms of imaging modalities, but in the way that they not only Will be able to work on text, but also images and audio.

“That’s the direction that the big language models are going … I think we’re going to see this kind of technology come into the clinic and do things that we can’t even imagine,” he said. They said.

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