NCBI PubMed Central
open access
Association between AI-driven conversational agents and physician-patient interaction quality during outpatient consultations: A propensity score matching study in China.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care#146936
- Use of AI Chatbots for Mental Health#837967
- Constructing Rhetorical Ethos: Traditional Chinese Medicine Doctors' Management of Patient Resistance in Online Medical Consultations.#174392
- User experience and co-design of the MHAI platform, an AI conversational agent for mental health support#339876
- How Online Patient–Physician Interaction Influences Service Satisfaction#363420
Record · ID 440742
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive