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 | ||
| Volume 6, Issue 2, May 2025, Pages 898-905 PDF (982.58 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mid.2024.329073.2295 | ||
| Authors | ||
| Faten Abouelmagd* 1; Mohamed Elmutasim Elsheikh2; Elshiekh Khidir3; Karim Mohamed Rashad4; Mohammed Radwan5; Manal El Said2, 6 | ||
| 1Department of Medical Parasitology, Faculty of Medicine, Sohag University, Sohag 82524, Egypt | ||
| 2General Medicine Practice Program, Department of Microbiology, Batterjee Medical College, Jeddah 21442, Saudi Arabia. | ||
| 3Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Al-Abdeyah, Makkah 24381, Saudi Arabia | ||
| 4Kasr Alainy, Faculty of Medicine, Cairo University, Giza 11562, Egypt | ||
| 5General Medicine Practice Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia | ||
| 6Department 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. Objectives: 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, and 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. | ||
| Keywords | ||
| Key words: ChatGPT; large language model; PRIMSA and STROBE guidelines | ||
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