Effectiveness of artificial intelligence in recommending research methodology for systematic review, observational and clinical trial articles related to Microbiology and Parasitology

Theodor Bilharz Research Institute

Bibliographic Information

Authors: Abouelmagd F.; Elsheikh M.E.; Khidir E.; Rashad K.M.; Radwan M.; El Said M.

Journal: Microbes and Infectious Diseases

Publisher: Zagazig University, Faculty of Medicine

Publication Date: 14 November 2024

Volume / Issue: Volume 6 / Issue 2

Pages: 898–905

ISSN: 26824132

DOI: 10.21608/mid.2024.329073.2295

Scopus: View on Scopus

Document Type: Article

Access: All Open Access; Gold Open Access

Authors and Affiliations

Abouelmagd F., Department of Medical Parasitology, Faculty of Medicine, Sohag University, Sohag, 82524, Egypt; Elsheikh M.E., General Medicine Practice Program, Department of Microbiology, Batterjee Medical College, Jeddah, 21442, Saudi Arabia; Khidir E., Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Al-Abdeyah, Makkah, 24381, Saudi Arabia; Rashad K.M., Kasr Alainy, Faculty of Medicine, Cairo University, Giza, 11562, Egypt; Radwan M., General Medicine Practice Program, Batterjee Medical College, Jeddah, 21442, Saudi Arabia; El Said M., General Medicine Practice Program, Department of Microbiology, Batterjee Medical College, Jeddah, 21442, Saudi Arabia, Department of Microbiology and Infection Prevention and Control Unit, Theodor Bilharz Research Institute, Giza, 12411, Egypt

Abstract

Background: ChatGPT is a conversational large language model (LLM) powered by artificial intelligence (AI). If concerns about the application of large language models are addressed, their potential in research appears promising. Objective: The current study aimed to investigate the utility of ChatGPT in writing the methodology of different research studies related to Microbiology and Parasitology and to highlight its potential capabilities and limitations. Methods: a single sample of meta-analysis review and observational study and clinical trial were selected by searching PubMed/MEDLINE and Google Scholar following the inclusion and exclusion criteria. Reporting Items for Systematic Reviews and Meta-Analyses (PRIMSA), Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for randomized clinical trials were used to examine ChatGPT in the research context. Results: Using ChatGPT in research methodology was promising in the examined study research articles with some limitations that necessitate the role of the researchers. Conclusion: AI can assist in deciding the methodology scholarly but only with the collaboration of humans to yield the best outcomes. © 2020 The author (s).

Keywords

ChatGPT; large language model; meta-analysis; observational article PRIMSA and STROBE guidelines; randomized clinical trial; systematic review

Citation Information

Scopus Citations: 0

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