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Effectiveness of Artificial Intelligence in recommending research methodology for systematic review, observational and clinical trial articles related to Microbiology and Parasit

Article

Last updated: 04 May 2025

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Subjects

-

Tags

Medical parasitology

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.

DOI

10.21608/mid.2024.329073.2295

Keywords

Key words: ChatGPT, large language model, PRIMSA and STROBE guidelines

Authors

First Name

Faten

Last Name

Abouelmagd

MiddleName

-

Affiliation

Department of Medical Parasitology, Faculty of Medicine, Sohag University, Sohag 82524, Egypt

Email

faten.rashad@gmail.com

City

-

Orcid

0000-0002-7658-2444

First Name

Mohamed

Last Name

Elsheikh

MiddleName

Elmutasim

Affiliation

General Medicine Practice Program, Department of Microbiology, Batterjee Medical College, Jeddah 21442, Saudi Arabia.

Email

medicine2.jed@bmc.edu.sa

City

-

Orcid

0000-0002-2413-0358

First Name

Elshiekh

Last Name

Khidir

MiddleName

-

Affiliation

Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Al-Abdeyah, Makkah 24381, Saudi Arabia

Email

ebkhidir@uqu.edu.sa

City

-

Orcid

0000-0001-5956-9849

First Name

Karim

Last Name

Rashad

MiddleName

Mohamed

Affiliation

Kasr Alainy, Faculty of Medicine, Cairo University, Giza 11562, Egypt

Email

kimo.rashad2000@gmail.com

City

-

Orcid

0009-0009-1310-4603

First Name

Mohammed

Last Name

Radwan

MiddleName

-

Affiliation

General Medicine Practice Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia

Email

mohammed.radwan12@gmail.com

City

-

Orcid

0009-0009-4641-6523

First Name

Manal

Last Name

El Said

MiddleName

-

Affiliation

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

Email

microbiology1.jed@bmc.edu.sa

City

-

Orcid

0000-0002-1090-1713

Volume

6

Article Issue

2

Related Issue

55370

Issue Date

2025-05-01

Receive Date

2024-10-17

Publish Date

2025-05-01

Page Start

898

Page End

905

Print ISSN

2682-4132

Online ISSN

2682-4140

Article File

MID_Volume 6_Issue 2_Pages 898-905.pdf

PDF . 1.0MB

Link

https://mid.journals.ekb.eg/article_391880.html

Detail API

http://journals.ekb.eg?_action=service&article_code=391880

Order

391,880

Type

Original Article

Type Code

1,157

Publication Type

Journal

Publication Title

Microbes and Infectious Diseases

Publication Link

https://mid.journals.ekb.eg/

MainTitle

Effectiveness of Artificial Intelligence in recommending research methodology for systematic review, observational and clinical trial articles related to Microbiology and Parasit

Details

Type

Article

Created At

04 May 2025