In her latest blog, Carrie shares what keeps her moving in the rainy and wet season.

What AI doesn’t know: we could be creating a global ‘knowledge collapse’ https://t.co/lkBwk9nkne "...disconnecting future generations from vast bodies of insight and wisdom that were never encoded yet remain essential, human ways of knowing. What’s at stake, then, isn’t just

Staffordshire students say signs material was AI-generated included suspicious file names and rogue voiceover accent

Please note: authors do not need to have already posted their research as a preprint for an initial evaluation by eLife. During submission authors can indicate if they have already posted a preprint, and if not, can ask us to deposit the work as a preprint to bioRxiv or medRxiv, as appropriate.

Despite the importance of social science knowledge for various stakeholders, measuring its diffusion into different domains remains a challenge. This study uses a novel text-based approach to measure ...

Abstract The rise of generative artificial intelligence (AI) has broadened the academic editor’s job scope, and one must now worry about undeclared use of generative AI in manuscript preparation. Whil...

Also: Pet ownership is associated with greater cognitive and brain health in a cross-sectional sample across the adult lifespan https://t.co/FqpDJ22nzg

Researchers welcome the initiative, but say it doesn’t go far enough to capture the nuance of researcher productivity and impact.

We develop a method for evaluating the productivity and research diversity of an individual scientific research paper. The method is based on the prod…

IntroductionEpistemic positioning refers to the writer’s commitment to the truth of a proposition and assessment of its potential impact on readers. Despite ...

PMC is a free full-text archive of biomedical and life sciences journal literature at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM).

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Journal of Negative Results in Biomedicine (JNRBM) will cease to be published by BioMed Central as of 1stSeptember 2017. BioMed Central will continue to host ...

Large language models (LLMs) are increasingly deployed for clinical decision support, yet standard evaluations such as medical licensing exams overlook how clinicians update decisions in dynamic co...

This study compared language models’ responses to open-ended questions on regenerative therapy guidelines for chronic pain, assessing their accuracy, reliability, usefulness, readability, semantic similarity, and hallucination rates. This cross-sectional study used 16 open-ended questions based on the American Society of Pain and Neuroscience’s regenerative therapy guidelines for chronic pain. Questions were answered by ChatGPT-4o, Gemini 2.5 Flash, and Claude 4 Opus. Responses were rated on a 7-point Likert scale for usability and reliability, and a 5-point scale for accuracy. Hallucinogenicity, readability (FKRE, FKGL), and similarity (USE, ROUGE-L) were also assessed. Statistical comparisons were made, with significance set at p < 0.05. Claude Opus 4 showed the highest reliability (5.19 ± 1.11), usefulness (5.06 ± 1.0), and clinical accuracy (4.06 ± 0.68), outperforming ChatGPT-4o (4.13 ± 0.96; 3.94 ± 0.85; 3.38 ± 0.72) and Gemini 2.5 (4.19 ± 0.98; 4.06 ± 0.93; 3.38 ± 0.62). Claude had the lowest reference hallucinations (RHS 4.44 ± 3.18) vs. ChatGPT-4o (8.38 ± 1.86) and Gemini 2.5 (8.75 ± 1.73). In semantic similarity, Claude (0.68 ± 0.08) and Gemini (0.65 ± 0.07) surpassed ChatGPT-4o (0.60 ± 0.09). Gemini led in ROUGE-L F1 (0.12 ± 0.03) vs. Claude (0.10 ± 0.02) and ChatGPT-4o (0.07 ± 0.03). Readability was similar, though Gemini had a higher FKGL (11.3 ± 1.06) than Claude (10.3 ± 2.09). Claude Opus 4 showed superior accuracy, reliability, and usefulness, with significantly fewer hallucinations. Readability scores were similar across models. Further research is recommended.

This JAMA Insights provides evidence-based recommendations for communicating numerical information to patients.

Large language models (LLMs) are playing an increasingly integral, though largely informal, role in scholarly peer review. Yet it remains unclear whether LLMs reproduce the biases observed in human de...

Patient and family advisory councils (PFACs) serve as structured collaborative groups where patients and caregivers partner with healthcare professionals to sha...

Experts find fake sources in Canadian government report that took 18 months to complete.

Reminder: check to see if OpenAI, Meta, and others used your published work illegally to train their LLMs. https://www.theatlantic.com/technology/archive/2025/03/search-libgen-data-set/682094/ If yo...

Anthropic’s new data policy raises legal concerns with its use of questionable dark patterns.

We retracted a story in May. Here’s what happened.