Session Details
English Session 8. Evaluation
Sun. Sep 13, 2026 8:30 AM - 9:40 AM JST
Sun. Sep 13, 2026 11:30 PM - 12:40 AM UTC
Sun. Sep 13, 2026 11:30 PM - 12:40 AM UTC
Room 12 (Kobe Portopia Hotel, Main Building B1F, Ikuta)
Chairs: Tatsuma Okazaki (Tohoku University Graduate School of Medicine), Hideaki Kanazawa (Swallowish Clinic)
[ENS8-1]Predictive Accuracy of Comprehensive Versus Isolated Swallowing Function Assessmentfor Aspiration Pneumonia Risk in Stroke Patients
○Ryosuke Minatoya1, Mariko Sakka2, Yohei Teramoto3, Masaru Sanuki4, Akane Kabayama1, Atsuko Furuta1, Tomomi Hiraguri1, Naomi Akiyama2, Ryota Ochiai2 (1Graduate School of Comprehensive Human Sciences, Degree Program in Nursing Science, University of Tsukuba, Japan, 2Institute of Medicine, Nursing and Health Sciences, University of Tsukuba, 3Department of Rehabilitation Medicine, University of Tsukuba Hospital, 4Institute of Medicine, University of Tsukuba)
[ENS8-2]Diagnostic Accuracy of Dysphagia Screening Tool for Acute Stroke Patients: A Meta-Analysis
○Nur Hidayati, Hsiao-Yean Chiu (Taipei Medical University, Taiwan)
[ENS8-3]Classifying oromotor impairment: A novel approach
○Joana Liu, Alan N. L. Wong, Karen Man Kei Chan (Swallowing Research Laboratory, The University of Hong Kong, Hong Kong)
[ENS8-4]An Acoustic Feature-Based Intelligent Screening System for Dysphagia: Design, Implementationand Preliminary Usability Evaluation
○Tao LIU1, Dan LI1, Xu DONG1, Xiaoyan JIN1, Guoqing CUI2, Shigang DING2, Jing QIN3, Baohua LI2, Shaomei SHANG1 (1School of Nursing, Peking University, China, 2Peking University Third Hospital, 3School of Nursing, The Hong Kong Polytechnic University)
[ENS8-5]Implementing Clinician-AI Collaboration in Point-of-care Ultrasound Swallowing Screeningwith Explainable Mixture of Expert Model
○Wilson Yiu Shun Lam1,2, Elaine Kwong1,2, Esther Tsz-Tung Li1, Huberta Wai Tung Chan1, Phoebe Tsz-Ching Shek1, Michael Siu Wai Chan3, Suen Yue Sarah Poon1, Yongping Zheng2,3 (1Department of Language Science and Technology, The Hong Kong Polytechnic University, Hong Kong, 2Research Institute for Smart Ageing, The Hong Kong Polytechnic University, 3Department of Biomedical Engineering, The Hong Kong Polytechnic University)
[ENS8-6]Development and Predictive Validation of IWATA-4 for Discharge Dietary Status UsingAdmission Information
○Naoto Arimoto1, Humiaki Sahara2, Shohei Mori3 (1Department of Rehabilitation Medicine, Iwata City Hospital, Iwata, Shizuoka, Japan, 2Department of Rehabilitation Technology, Iwata City Hospital, 3Department of Nutrition, Iwata City Hospital)
[ENS8-7]Stratification of Speech-Language Therapy Demand and Support for Resource AllocationUsing IWATA-4
○Fumiaki Sahara, Naoto Arimoto, Syouhei Mori, Yumi Kano (Iwata City Hospital, Japan)