Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

作者：Duo Wai‐Chi Wong, Jiao Wang, Sophia Ming-Yan Cheung, Derek Ka-Hei Lai, Armstrong Tat San Chiu, Dai Pu, James Chung‐Wai Cheung, Timothy Kwok · 发表于：Journal of Medical Internet Research · 年份：2025 · DOI：10.2196/65551 · 被引用次数：11 · 研究领域：Dysphagia Assessment and Management、Child Nutrition and Feeding Issues、Tracheal and airway disorders

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a 10-fold increase in mortality. The development of accessible, objective, and reliable screening tools is crucial for early detection and management. OBJECTIVE: This systematic scoping review aimed to (1) examine the current state of the art in artificial intelligence (AI) and sensor-based technologies for dysphagia screening, (2) evaluate the performance of these AI-based screening tools, and (3) assess the methodological quality and rigor of studies on AI-based dysphagia screening tools. METHODS: We conducted a systematic literature search across CINAHL, Embase, PubMed, and Web of Science from inception to July 4, 2024, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) framework. In total, 2 independent researchers conducted the search, screening, and data extraction. Eligibility criteria included original studies using sensor-based instruments with AI to identify individuals with dysphagia or unsafe swallow events. We excluded studies on pediatric, infant, or postextubation dysphagia, as well as those using non-sensor-based assessments or diagnostic tools. We used a modified Quality Assessment of Diagnostic Accuracy Studies-2 tool to assess methodological quality, adding a "model" domain for AI-specific evaluation. Data were synthesized narratively. RESULTS: This review included 24 studies involving 297...