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Participants (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u2009261) were randomly assigned to one of 12 conditions: 2 (doctor type: human vs. AI)\u2009\u00d7\u20092 (illness severity: high vs. low)\u2009\u00d7\u20093 (message richness: text\u2010only prescription vs. with audio vs. with audiovisual). They were then asked to indicate their perceived credibility of the doctor and intention to adhere to the prescription. Results showed that people reported greater perceived credibility toward a human doctor than an AI doctor which, in turn, was positively associated with adherence intention. Moreover, there was a significant interaction between doctor type and message richness, such that the difference in adherence intention for human versus AI doctor was significantly smaller in the text\u2010with\u2010audiovisual condition than that in the text\u2010only condition, indicating that people may start paying less attention to the source and more to the message cues as the message gets richer. These results reflect user responses to a specific type of AI system within a controlled interaction context, and future research should explore how alternative system designs might influence credibility and adherence intention differently.\n                  <\/jats:p>","DOI":"10.1155\/ahci\/5934127","type":"journal-article","created":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T05:18:37Z","timestamp":1761023917000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Trust in AI Doctors: How Credibility and Message Richness in AI\u2010Based Providers Influence Patient Adherence"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7829-8535","authenticated-orcid":false,"given":"Yoo 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