ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2025
[Clinical research and medical ethics in the era of artificial intelligence].
Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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Authors and funding
7 authors.
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Abstract
Artificial intelligence (AI), a core technology of the Fourth Industrial Revolution, profoundly reshapes the landscape of modern medicine. AI can extract information from extensive datasets, optimizing trial design, and enhancing research efficiency. It is widely applied in field such as medical imaging, clinical decision support, precision medicine, and drug development. Notably, AI brings revolutionary opportunities to clinical research and practice; however, it also raises a series of serious ethical and regulatory challenges regarding data privacy, algorithmic bias, attribution of responsibility, and informed consent. This article systematically discusses the current applications of AI at various stages of clinical research, deeply analyzes the core ethical dilemmas arising from these applications, and outlines corresponding ethical governance frameworks and response strategies. In addition, we advocated establishment of a collaborative governance system that is people-oriented and technology-driven, emphasizing strict adherence to ethical principles throughout the entire process of technological development to ensure the scientific, fair, and safe nature of clinical research, ultimately resulting in the coordinated progress of artificial intelligence technology and medical ethics.
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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.