NEW DELHI (July 4): A new study has found that approximately 13 per cent of biomedical research abstracts published in 2024 may have been influenced by artificial intelligence (AI), particularly large language models (LLMs). The research analyzed over 15 million biomedical papers published between 2010 and 2024.
Conducted by researchers from the University of Tübingen in Germany, the study revealed a noticeable shift in the vocabulary and writing style of scientific papers, suggesting an increased reliance on AI tools. These language models, trained on massive text datasets, are designed to mimic human-like writing and respond to prompts in natural language.
The study found that abstracts from 2024 contained a higher frequency of stylistic markers commonly associated with AI-generated content. Words and phrases typically favored by LLMs—often more polished and standardized—were significantly more prevalent in recent abstracts compared to earlier years.
The researchers did not examine the use of AI in the substance or integrity of the research but noted a measurable change in writing style. This aligns with growing concerns in academia about the potential overuse or misuse of AI tools in scientific communication.
The findings highlight a broader trend in academic publishing, where AI is increasingly used not just for writing assistance but also for literature reviews, data analysis, and summarization. While AI can streamline and improve efficiency in research writing, experts stress the importance of transparency and ethical guidelines around its use.
As the integration of AI in research continues to rise, the scientific community is now debating how to balance its benefits with the need to preserve originality, credibility, and human oversight in scholarly work
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