Are ChatGPT and large language models "the answer" to bringing us closer to systematic review automation?
Artificial intelligence
Large language models
Methodology
Systematic review
Journal
Systematic reviews
ISSN: 2046-4053
Titre abrégé: Syst Rev
Pays: England
ID NLM: 101580575
Informations de publication
Date de publication:
29 04 2023
29 04 2023
Historique:
received:
21
03
2023
accepted:
20
04
2023
medline:
1
5
2023
pubmed:
30
4
2023
entrez:
29
4
2023
Statut:
epublish
Résumé
In this commentary, we discuss ChatGPT and our perspectives on its utility to systematic reviews (SRs) through the appropriateness and applicability of its responses to SR related prompts. The advancement of artificial intelligence (AI)-assisted technologies leave many wondering about the current capabilities, limitations, and opportunities for integration AI into scientific endeavors. Large language models (LLM)-such as ChatGPT, designed by OpenAI-have recently gained widespread attention with their ability to respond to various prompts in a natural-sounding way. Systematic reviews (SRs) utilize secondary data and often require many months and substantial financial resources to complete, making them attractive grounds for developing AI-assistive technologies. On February 6, 2023, PICO Portal developers hosted a webinar to explore ChatGPT's responses to tasks related to SR methodology. Our experience from exploring the responses of ChatGPT suggest that while ChatGPT and LLMs show some promise for aiding in SR-related tasks, the technology is in its infancy and needs much development for such applications. Furthermore, we advise that great caution should be taken by non-content experts in using these tools due to much of the output appearing, at a high level, to be valid, while much is erroneous and in need of active vetting.
Identifiants
pubmed: 37120563
doi: 10.1186/s13643-023-02243-z
pii: 10.1186/s13643-023-02243-z
pmc: PMC10148473
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
72Informations de copyright
© 2023. The Author(s).
Références
Contemp Clin Trials Commun. 2019 Aug 25;16:100443
pubmed: 31497675
BMJ Open. 2017 Feb 27;7(2):e012545
pubmed: 28242767
Radiology. 2023 Apr;307(2):e230163
pubmed: 36700838
PLOS Digit Health. 2023 Feb 9;2(2):e0000198
pubmed: 36812645
J Med Libr Assoc. 2018 Apr;106(2):198-207
pubmed: 29632442