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NTCIR-18 MedNLP-CHAT Determining Medical, Ethical and Lega Risks in Patient-Doctor Conversations: Task Overview
1
Zitationen
16
Autoren
2025
Jahr
Abstract
This paper presents an overview of the Medical Natural Language Processing for AI Chat (MedNLP-CHAT) task, conducted as part of the shared task at NTCIR-18. Recently, medical chatbot services have emerged as a promising solution to address the shortage of medical and healthcare professionals. However, the potential risks associated with these chatbots remain insufficiently understood. Given this context, we designed the MedNLP-CHAT task to evaluate medical chatbots from multiple risk perspectives, including medical, legal, and ethical aspects. In this shared task, participants were required to analyze a given medical question along with the corresponding chatbot response and determine whether the response posed a potential medical, legal, or ethical risk (binary classification). Nine teams participated in this task applying different approaches, yielding valuable insights.
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