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Artificial intelligence

Artificial Intelligence Assists in Research Methodology with Collaboration from Humans

Strategic Insights

— 1 min read

Research from Sohag University in Egypt has revealed the potential of ChatGPT, a conversational large language model, in assisting researchers in deciding the methodology for systematic reviews, observational studies, and clinical trials related to Microbiology and Parasitology. The study, published in Microbes and Infectious Diseases, found that AI can be a valuable tool in research, but only when used in collaboration with humans. According to the researchers, AI can help recommend research methodology, but human judgment is necessary to yield the best outcomes.

Key Takeaways:

  • ChatGPT, a conversational large language model, was used to investigate its potential in writing the methodology of different research studies related to Microbiology and Parasitology.
  • The study found that AI can assist in deciding the methodology of research studies, but only with the collaboration of humans to yield the best outcomes.
  • The research used Reporting Items for Systematic Reviews and Meta-Analyses (PRIMSA), Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, and Guidelines for randomized clinical trials to examine ChatGPT in the research context.
  • The study concluded that AI can be a valuable tool in research, especially in terms of recommending research methodology, but human judgment is necessary to ensure accuracy and validity.
  • The researchers emphasized the importance of collaboration between humans and AI in research to achieve the best outcomes.
  • The study recommends that researchers consider using AI tools like ChatGPT to assist in research methodology, but with human oversight to ensure accuracy and validity.

Statistics:

  • The study examined a single sample of meta-analysis review, observational study, and clinical trial articles related to Microbiology and Parasitology.
  • The study used PubMed/MEDLINE and Google Scholar to search for relevant articles.
  • The study found that AI-assisted methodology recommendations were promising, but limitations necessitated human collaboration to yield the best outcomes.

Sources:

  • Effectiveness of Artificial Intelligence in recommending research methodology for systematic review, observational and clinical trial articles related to Microbiology and Parasitology. Microbes and Infectious Diseases, 2025, 6(2): 898-905.
  • Zagazig University, Faculty of Medicine (publisher)
  • Faten Abouelmagd, Department of Medical Parasitology, Faculty of Medicine, Sohag University, Sohag 82524, Egypt (corresponding author)
  • Mohamed Elsheikh, Elshiekh Khidir, Karim Rashad, Mohammed Radwan, Manal El Said (additional authors)
  • Sohag University, Sohag, Egypt (research institution)

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