arXiv (All)
open access
Exploring patient trust in clinical advice from AI-driven LLMs like ChatGPT for self-diagnosis
Trustworthy clinical advice is crucial but can be burdensome to obtain. Limited access and financial costs may lead people to self-diagnose. However, self-diagnosis requires considerable learning and can create risks when people pursue treatment without professional guidance. Large language models (
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
- Tracking AI/LLM Literacy and Knowledge in Urology Outpatients (TALK-U)#1009916
- Trust and verification in AI-enabled physician chatbots for chronic disease management: evidence from digital health behavior.#354661
- Trusting and staying with AI doctors: cognitive and emotional pathways driving continuance intention toward AI healthcare chatbots.#1080770
- Patient AI Trust Dynamics Before and After Orthopedic Consultation (ORTHO-OP-GPT)#1125971
- ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning#1105355
Record · ID 984794
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