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25-09-2024 | Invited Review Article

Generative AI and large language models in nuclear medicine: current status and future prospects

Authors: Kenji Hirata, Yusuke Matsui, Akira Yamada, Tomoyuki Fujioka, Masahiro Yanagawa, Takeshi Nakaura, Rintaro Ito, Daiju Ueda, Shohei Fujita, Fuminari Tatsugami, Yasutaka Fushimi, Takahiro Tsuboyama, Koji Kamagata, Taiki Nozaki, Noriyuki Fujima, Mariko Kawamura, Shinji Naganawa

Published in: Annals of Nuclear Medicine

Abstract

This review explores the potential applications of Large Language Models (LLMs) in nuclear medicine, especially nuclear medicine examinations such as PET and SPECT, reviewing recent advancements in both fields. Despite the rapid adoption of LLMs in various medical specialties, their integration into nuclear medicine has not yet been sufficiently explored. We first discuss the latest developments in nuclear medicine, including new radiopharmaceuticals, imaging techniques, and clinical applications. We then analyze how LLMs are being utilized in radiology, particularly in report generation, image interpretation, and medical education. We highlight the potential of LLMs to enhance nuclear medicine practices, such as improving report structuring, assisting in diagnosis, and facilitating research. However, challenges remain, including the need for improved reliability, explainability, and bias reduction in LLMs. The review also addresses the ethical considerations and potential limitations of AI in healthcare. In conclusion, LLMs have significant potential to transform existing frameworks in nuclear medicine, making it a critical area for future research and development.

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Title: Generative AI and large language models in nuclear medicine: current status and future prospects
Authors: Kenji Hirata
Yusuke Matsui
Akira Yamada
Tomoyuki Fujioka
Masahiro Yanagawa
Takeshi Nakaura
Rintaro Ito
Daiju Ueda
Shohei Fujita
Fuminari Tatsugami
Yasutaka Fushimi
Takahiro Tsuboyama
Koji Kamagata
Taiki Nozaki
Noriyuki Fujima
Mariko Kawamura
Shinji Naganawa
Publication date: 25-09-2024
Publisher: Springer Nature Singapore
Published in: Annals of Nuclear Medicine
Print ISSN: 0914-7187
Electronic ISSN: 1864-6433
DOI: https://doi.org/10.1007/s12149-024-01981-x

Keynote webinar | Spotlight on modern management of frailty

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Generative AI and large language models in nuclear medicine: current status and future prospects

Abstract

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