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

OpenAI – ChatGPT. https://openai.com/chatgpt Accessed 22 Mar 2024.

Bubeck S, Chandrasekaran V, Eldan R, Gehrke J, Horvitz E, Kamar E et al. Sparks of artificial general intelligence: early experiments with gpt-4. arXiv:2303.12712 [cs.CL].

Lee PY, Salim H, Abdullah A, Teo CH. Use of ChatGPT in medical research and scientific writing. Malays Fam Physician. 2023;18:58–9.

Article  PubMed  PubMed Central  Google Scholar 

Wei J, Tay Y, Bommasani R, Raffel C, Zoph B, Borgeaud S et al. Emergent abilities of large language models. arXiv:2206.07682 [cs.CL].

Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, et al. Language models are few-shot learners. Adv Neural Inf Process Syst. 2020;33:1877–901.

Google Scholar 

Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, et al. Attention is all you need. Adv Neural Inf Process Syst. 2017;30:5998–6008.

Google Scholar 

Liu J, Shen D, Zhang Y, Dolan B, Carin L, Chen W. What Makes Good In-Context Examples for GPT-3? arXiv:2101.06804 [cs.CL].

Aithal PS, Aithal S. Use of AI-Based GPTs in experimental, empirical, and exploratory research methods. Int J Case Stud Bus IT Educ (IJCSBE). 2023;7:411–25.

Google Scholar 

Ye J, Chen X, Xu N, Zu C, Shao Z, Liu S et al. A comprehensive capability analysis of gpt-3 and gpt-3.5 series models. arXiv:2303.10420 [cs.CL].

Li Y, Liu Y, Wang Z, Liang X, Liu L, Wang L et al. A Comprehensive Study of GPT-4V’s Multimodal Capabilities in Medical Imaging. medRxiv. 2023; https://doi.org/10.1101/2023.05.18.23289729

Khan JY, Uddin G. Automatic code documentation generation using gpt-3. In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering; 2022. pp. 1–6.

OpenAI. – Blog – Introducing GPTs. https://openai.com/blog/introducing-gpts Accessed 22 Mar 2024.

ChatGPT. Mar – GPTs - Building GPTs - Creating a GPT. https://help.openai.com/en/articles/8554397-creating-a-gpt Accessed 22 2024.

OpenAPI Initiative – Specification. https://spec.openapis.org/oas/latest.html Accessed 22 Mar 2024.

NCBI – Books. - Entrez Programming Utilities Help. https://www.ncbi.nlm.nih.gov/books/NBK25501 Accessed 22 Mar 2024.

ChatGPT – GPTs - Sharing. GPTs - Building and publishing a GPT. https://help.openai.com/en/articles/8798878-building-and-publishing-a-gpt Accessed 22 Mar 2024.

ChatGPT. – Explore GPTs – Consensus. https://chat.openai.com/g/g-bo0FiWLY7-consensus Accessed 22 Mar 2024.

LangChain. – Get started – Introduction. https://python.langchain.com/docs/get_started/introduction Accessed 22 Mar 2024.

Hello. GPT-4o. https://openai.com/index/hello-gpt-4o Accessed 7 Jun 2024.

Lo LS. The art and science of prompt engineering: a new literacy in the information age. Internet Ref Serv Q. 2023;27:203–10.

Google Scholar 

Marvin G, Hellen N, Jjingo D, Nakatumba-Nabende J. Prompt Engineering in Large Language Models. In: International Conference on Data Intelligence and Cognitive Informatics. Singapore: Springer; 2023. pp. 387–402.

Wei J, Wang X, Schuurmans D, Bosma M, Xia F, Chi E, et al. Chain-of-thought prompting elicits reasoning in large language models. Adv Neural Inf Process Syst. 2022;35:24824–37.

Google Scholar 

Kojima T, Gu SS, Reid M, Matsuo Y, Iwasawa Y. Large language models are zero-shot reasoners. Adv Neural Inf Process Syst. 2022;35:22199–213.

Google Scholar 

Li C, Wang J, Zhang Y, Zhu K, Hou W, Lian J et al. Large language models understand and can be enhanced by emotional stimuli. arXiv:2307.11760 [cs.CL].

Lewis P, Perez E, Piktus A, Petroni F, Karpukhin V, Goyal N, et al. Retrieval-augmented generation for knowledge-intensive nlp tasks. Adv Neural Inf Process Syst. 2020;33:9459–74.

Google Scholar 

Truhn D, Loeffler CM, Müller-Franzes G, Nebelung S, Hewitt KJ, Brandner S, et al. Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4). J Pathol. 2024;262:310–19.

Article  PubMed  Google Scholar 

Islam I, Islam MN. Exploring the opportunities and challenges of ChatGPT in academia. Discov Educ. 2024;3:31.

Article  Google Scholar 

Bom HS. Exploring the opportunities and challenges of ChatGPT in academic writing: a roundtable discussion. Nucl Med Mol Imaging. 2023;57:165–7.

Article  PubMed  PubMed Central  Google Scholar 

Perera Molligoda Arachchige AS, Stomeo N. Exploring the opportunities and challenges of ChatGPT in Academic writing: reply to Bom et al. Nucl Med Mol Imaging. 2023;57:213–4.

Article  PubMed  Google Scholar 

Ganjavi C, Eppler MB, Pekcan A, Biedermann B, Abreu A, Collins GS, et al. Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis. BMJ. 2024;384:p1209.

Google Scholar 

Guo E, Gupta M, Deng J, Park YJ, Paget M, Naugler C. Automated Paper Screening for clinical reviews using large Language models: Data Analysis Study. J Med Internet Res. 2024;26:e48996.

Article  PubMed  PubMed Central  Google Scholar 

OpenAI - Embeddings. https://platform.openai.com/docs/guides/embeddings Accessed 23 Mar 2024.

Oh SW, Suh M, Cheon GJ. Current status of PSMA-targeted radioligand therapy in the era of radiopharmaceutical therapy acquiring marketing authorization. Nucl Med Mol Imaging. 2022;56:263–81.

Article  PubMed  PubMed Central  Google Scholar 

Osayande E, Carika F, Gerrit E. Technetium 99m PSMA superscan mimicking a bone scan gone wrong. Nucl Med Mol Imaging. 2022;56:211–7.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Bautista PA. The emergence of theranostics in the Philippines: overcoming challenges and bringing hope. Nucl Med Mol Imaging. 2019;53:30–2.

Article  PubMed  Google Scholar 

Al-Ibraheem A, Scott AM. 161Tb-PSMA unleashed: a promising new player in the theranostics of prostate cancer. Nucl Med Mol Imaging. 2023;57:168–71.

Article  PubMed  PubMed Central  Google Scholar 

Bom HS. Response to the letter to the editor: ethical concerns of ChatGPT. Nucl Med Mol Imaging. 2023;57:215.

Article  PubMed  Google Scholar 

Ji Z, Lee N, Frieske R, Yu T, Su D, Xu Y, et al. Survey of hallucination in natural language generation. ACM Comput Surv. 2023;55:1–38.

Article  Google Scholar 

留言 (0)

沒有登入
gif