ArticleMalaysian orthopaedic journal2023
Artificial Intelligence: Impact and Challenges to Authors, Journals and Medical Publishing.
Article in Malaysian orthopaedic journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Artificial Intelligence in Detecting Statistical Errors: Implications for Authors, Reviewers, and Editors.Journal of Korean medical science · 2025Review
- Review
- Delving into the Practical Applications and Pitfalls of Large Language Models in Medical Education: Narrative Review.Advances in medical education and practice · 2025Review
- PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI)-assisted technologies are here to stay and cannot be ignored. These tools are able to generate highly-realistic human-like text and perform a wide range of useful language tasks with a wide range of applications. They have the potential to expedite innovation in health care and can aid in promoting equity and diversity in research by overcoming language barriers. When using these AI tools, authors must take responsibility for the output and originality of their work, as publishers expect all content to be generated by human authors unless there is a declaration to the contrary. Authors must disclose how AI tools have been used, and ensure appropriate attribution of all the text, images, and audio-visual material. The responsible use of AI language models and transparent reporting of how these tools were used in the creation of information and publication are vital to promote and protect the credibility and integrity of medical research, and trust in medical knowledge. Educating postgraduate and undergraduate students, researchers and authors on the applications and best usage of AI-assisted technologies, together with the importance of critical thinking, integrity and strict adherence to ethical principles, are key steps that need to be undertaken.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.