ArticleJournal of medical Internet research2026
AI and Patient Trust in Health Care.
Article in Journal of medical Internet research, 2026. 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
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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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unlabelled: Health care providers are among the most trusted professionals, and they are rapidly adapting to AI integration in medicine. Authors Hou et al reviewed and synthesized qualitative studies of patient concerns regarding AI in health care. Themes included privacy, data security, and the "black box" complexity of AI decision-making; decreased trust in the physician-patient relationship and in the accountability of health systems; and equitable access, ethical regulation, and the displacement of human workers. Global and national health leaders can support health systems by establishing specific guidelines for informed consent about AI use in patient care. Similarly, health care leadership groups, in collaboration with AI developers, should establish checkpoints for physician review and specific loci for accountability prior to clinical use. Equitable access, ethical regulation, and the preservation of access to human providers, particularly when empathetic holistic care is paramount, will all impact the future of patient trust in physicians and health care systems. Centering our actions on the concerns of patients provides a road map to improve health care delivery, with AI at the service of patients and physicians.
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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.