Zhong Xiaoyun
School of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.
Front Public Health. 2024 Aug 29;12:1401240. doi: 10.3389/fpubh.2024.1401240. eCollection 2024.
Aphasia is a language disorder caused by brain injury that often results in difficulties with speech production and comprehension, significantly impacting the affected individuals' lives. Recently, artificial intelligence (AI) has been advancing in medical research. Utilizing machine learning and related technologies, AI develops sophisticated algorithms and predictive models, and can employ tools such as speech recognition and natural language processing to autonomously identify and analyze language deficits in individuals with aphasia. These advancements provide new insights and methods for assessing and treating aphasia. This article explores current AI-supported assessment and treatment approaches for aphasia and highlights key application areas. It aims to uncover how AI can enhance the process of assessment, tailor therapeutic interventions, and track the progress and outcomes of rehabilitation efforts. The article also addresses the current limitations of AI's application in aphasia and discusses prospects for future research.
失语症是一种由脑损伤引起的语言障碍，常常导致言语产生和理解困难，严重影响患者的生活。近年来，人工智能（AI）在医学研究中不断发展。利用机器学习及相关技术，人工智能开发出复杂的算法和预测模型，并能运用语音识别和自然语言处理等工具，自主识别和分析失语症患者的语言缺陷。这些进展为失语症的评估和治疗提供了新的见解和方法。本文探讨了当前人工智能支持的失语症评估和治疗方法，并突出了关键应用领域。旨在揭示人工智能如何改进评估过程、定制治疗干预措施以及跟踪康复工作的进展和效果。文章还阐述了目前人工智能在失语症应用中的局限性，并讨论了未来研究的前景。
