ArticleJMA journal2025
Potential of Artificial Intelligence in Addressing Japan's Clinical Research Disconnection.
Article in JMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
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
In February 2023, a report from the Japanese Ministry of Education, Culture, Sports, Science and Technology highlighted that half of the assistant professors at university hospitals spend five hours or less per week on research, with 15% not engaging in research at all. This disconnect between clinical practice and research may be exacerbated by work-style reforms predicting difficulties in allocating time for student guidance and dedicated research at Japanese university hospitals. This study proposes the integration of artificial intelligence (AI) tools, such as ChatGPT, to streamline administrative duties and enhance research productivity, suggesting a need for immediate development of ethical guidelines for AI use in healthcare to improve efficiency and patient care quality.
Indexed as
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.