Assessing large language models for Lugano classification of malignant lymphoma in Japanese FDG-PET reports

Abstract Purpose This study evaluates the performance of four large language models (LLMs) in classifying malignant lymphoma stages using the Lugano classification from free-text FDG-PET reports in Japanese Specifically, we assess GPT-4o, Claude 3.5 Sonnet, Llama 3 70B, and Gemma 2 27B in their abil...

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Bibliographic Details

Published in:	EJNMMI Reports
Main Authors:	Rintaro Ito, Keita Kato, Kosuke Nanataki, Yumi Abe, Hiroshi Ogawa, Ryogo Minamimoto, Katsuhiko Kato, Toshiaki Taoka, Shinji Naganawa
Format:	Article
Language:	English
Published:	Springer 2025-03-01
Subjects:	FDG PET Report LLM AI
Online Access:	https://doi.org/10.1186/s41824-025-00246-8