前庭诊断中的诊断决策支持与自动化

文献信息

中文摘要

本文探讨了决策支持系统和自动化在急诊、初级保健和专科环境中前庭诊断的当前和未来作用。前庭疾病常见，但由于症状重叠、床旁检查困难以及神经影像学的局限性，常被误诊。结构化诊断方法在正确应用时可提高准确性。新兴技术可对眼动进行客观评估，并可能提高诊断可靠性。大型语言模型为临床推理、教育和信息检索提供了有价值的支持，但仍易出现幻觉和错误输入。未来的进展将取决于稳健的临床数据采集、眼动数据库以及经过验证的人工智能支持的诊断工作流程。

英文摘要

This article examines the current and future role of decision-support systems and automation in vestibular diagnosis across emergency, primary care, and specialty settings. Vestibular disorders are common but often misdiagnosed because of overlapping symptoms, challenging bedside examinations, and limitations of neuroimaging. Structured diagnostic approaches improve accuracy when correctly applied. Emerging technologies offer objective assessment of eye movements and may enhance diagnostic reliability. Large language models provide valuable support for clinical reasoning, education, and information retrieval but remain vulnerable to hallucinations and incorrect inputs. Future progress will depend on robust clinical data capture, eye-movement repositories, and validated artificial intelligence-supported diagnostic workflows.