Use and Perceptions of AI Chatbots in the Medical Research Community: International Survey, Cureus

Study Overview

An observational, cross-sectional survey was conducted to assess the use and perceptions of AI chatbots among 434 medical researchers. The survey was administered online and targeted participants across multiple countries. Medical researchers who had either published at least one study or were currently involved in a medical research project and resided in Saudi Arabia, Nigeria, Tunisia, or the United Kingdom (England), regardless of nationality, were included. Those who had never conducted or contributed to a research project, those outside the countries mentioned, and those not in the medical field were excluded. The primary outcomes included self-reported use of AI chatbots in research (binary: yes/no) and perceptions of AI chatbots’ impact on research. Additional outcome measures included participants’ ethical stances (e.g., whether they believe guidelines are needed) and future intentions regarding AI chatbot use. Key explanatory variables included participants’ demographic characteristics, such as age group, gender, country, and professional role.

Key Findings

• Of the 43 participants,175 (40.3%) reported using AI chatbots in their research.
• Use varied by country (32.8%-45.9%); however, neither gender nor country was significantly associated with use. Older age and more senior roles were associated with lower odds of use (odds ratio (OR): ages 41-50 years, 0.32; residents, 0.31; consultants, 0.17; P ≤ 0.009)
• Awareness strongly predicted use (OR 15.53), as did guideline awareness (OR 2.47), trust (P = 0.005), hypothesis formation (P = 0.001), willingness to cite (P = 0.003), and future use (P < 0.001); intention to declare use during submission did not differ (P = 0.468)

Possible Medical Researcher & Stakeholder Implications

AI has gained attention in scientific publishing for its ability to generate human-like text. Its strength lies in its ability to process large volumes of text quickly, potentially reducing researchers' workloads. ChatGPT and similar tools trained on vast text corpora support language tasks at scale. These models can automate previously manual tasks, such as reviewing papers and extracting key elements. AI chatbots can benefit authors when used responsibly. While they cannot replace subject-matter expertise, they may assist in drafting descriptions, organising manuscripts, supporting literature tasks, and refining research questions. However, the risks include a lack of context, inaccuracy, and bias in the outputs.

Reference: Alturaiki H M, Al Khamees M M, Alradhi H A, et al. The Use and Perceptions of AI Chatbots in Medical Research: An International Cross-Sectional Survey. Cureus 18(1): e100908. Published January 06, 2026. DOI 10.7759/cureus.100908