Nucl Med Mol Imaging.  2024 Dec;58(6):323-331. 10.1007/s13139-024-00876-z.

How to Harness the Power of GPT for Scientific Research: A Comprehensive Review of Methodologies, Applications, and Ethical Considerations

Affiliations
  • 1Department of Nuclear Medicine, Chonnam National University Hospital, 42 Jaebong-ro, Dong-gu, Gwangju 501-757, Republic of Korea
  • 2Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno- Gu, Seoul 03080, Republic of Korea
  • 3Department of Nuclear Medicine, Seoul National University College of Medicine, 101 Daehak- ro, Seoul 03080, JongnoGu, Republic of Korea

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.

Keyword

Generative Pre-trained Transformer (GPT); Natural Language Processing; Research Efficiency; Prompt Engineering; Interdisciplinary Collaboration
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