Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen.  They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored. <a href="https://doi.org/10.1148/ryai.240261">A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen.  Radiology: Artificial Intelligence 2024; 6(4):e240261.</a> <a href="https://doi.org/10.1148/ryai.230246">The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.</a>

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Episode 48: Standardizing LLM Research in Radiology- Part 2

Radiology AI Podcasts | RSNA

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