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How to Harness the Power of GPT for Scientific Research: A Comprehensive Review of Methodologies, Applications, and Ethical Considerations.
Park, Ki-Seong; Choi, Hongyoon.
Afiliación
  • Park KS; Department of Nuclear Medicine, Chonnam National University Hospital, 42 Jaebong-ro, Dong-gu, Gwangju, 501-757 Republic of Korea.
  • Choi H; Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno- Gu, Seoul, 03080 Republic of Korea.
Nucl Med Mol Imaging ; 58(6): 323-331, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39308492
ABSTRACT
The rapid advancements in natural language processing, particularly with the development of Generative Pre-trained Transformer (GPT) models, have opened up new avenues for researchers across various domains. This review article explores the potential of GPT as a research tool, focusing on the core functionalities, key features, and real-world applications of the GPT-4 model. We delve into the concept of prompt engineering, a crucial technique for effectively utilizing GPT, and provide guidelines for designing optimal prompts. Through case studies, we demonstrate how GPT can be applied at various stages of the research process, including literature review, data analysis, and manuscript preparation. The utilization of GPT is expected to enhance research efficiency, stimulate creative thinking, facilitate interdisciplinary collaboration, and increase the impact of research findings. However, it is essential to view GPT as a complementary tool rather than a substitute for human expertise, keeping in mind its limitations and ethical considerations. As GPT continues to evolve, researchers must develop a deep understanding of this technology and leverage its potential to advance their research endeavors while being mindful of its implications.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nucl Med Mol Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nucl Med Mol Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Alemania