AI Tools in Medical Research and Writing: Balancing Innovation with Critical Thinking among Young Researchers and Students

Abstract

Artificial intelligence (AI) tools have been integrated into medical research and writing at a rapid pace since ChatGPT was launched in November 2022. This development has created unprecedented opportunities for efficiency and accessibility in research and writing. This viewpoint examines the potential benefits and risks associated with the adoption of AI tools, particularly among medical students and early-career and healthcare researchers. The authors discuss that the uncritical use of AI can potentially lead to superficial learning and compromise the development of essential critical thinking skills. Effective use of AI tools requires background knowledge, as illustrated by examples in research question generation, literature review, data interpretation in clinical trials, and manuscript preparation. The authors emphasise the value of traditional skills, such as critical analysis, in-depth reading, and independent literature search in medical professions and suggest strategies for the ethical and effective integration of AI tools in research workflows, with a focus on building a strong foundation of knowledge before relying on these tools. This study offers some recommendations for educators and senior researchers in guiding the next generation of medical professionals. There is a need for collaboration and dialogue among all key stakeholders to ensure that AI tools enhance, rather than diminish, the quality and integrity of medical research and education. Key Words: Artificial intelligence, Medical writing, Medical research.

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