In non-clinical contexts, errors introduced by large language models may have limited impact or be more easily detected because users often possess the background knowledge to verify or cross-reference the information, unlike in many medical scenarios where patients may lack the expertise to assess the accuracy of AI-generated medical advice.

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their Impact on ...

Sources

• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (1)

• Large Language Models concept