# Study finds 77% of 2025 biomedical papers show signs of AI-assisted writing, up from 52%

> A new analysis tracked more than 350 'marker words' that AI writing tools reach for far more often than human authors, then scanned roughly 1.1 million English-language biomedical papers for those tells. The finding: about 77% of studies published in 2025 showed signs of LLM-assisted writing by the end of the year, up sharply from 52% in 2024. The fingerprints were not evenly spread. Discussion sections, where authors interpret and editorialize, carried the strongest AI signal at around 78%, while methods paragraphs came in lower at 54%, suggesting researchers lean on models most for prose and least for the technical record. The worry the authors raise is not that scientists use these tools, but what the incentives do next. When drafting gets nearly free and publication is still rewarded by volume, the likely result is more papers that are less carefully refined. That puts fresh pressure on peer review and on readers to judge rigor, at exactly the moment the literature is growing faster than anyone can check.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Phys.org / Nature · Published Tuesday, August 25, 2026_

## Wortins' read

A new analysis tracked more than 350 'marker words' that AI writing tools reach for far more often than human authors, then scanned roughly 1.1 million English-language biomedical papers for those tells. The finding: about 77% of studies published in 2025 showed signs of LLM-assisted writing by the end of the year, up sharply from 52% in 2024. The fingerprints were not evenly spread. Discussion sections, where authors interpret and editorialize, carried the strongest AI signal at around 78%, while methods paragraphs came in lower at 54%, suggesting researchers lean on models most for prose and least for the technical record. The worry the authors raise is not that scientists use these tools, but what the incentives do next. When drafting gets nearly free and publication is still rewarded by volume, the likely result is more papers that are less carefully refined. That puts fresh pressure on peer review and on readers to judge rigor, at exactly the moment the literature is growing faster than anyone can check.

## Source

[Read the full story at Phys.org / Nature](https://phys.org/news/2026-08-marker-words-sharp-ai-biomedical.html)

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