This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3124) Telehealth and Telemonitoring (1848) Web-based and Mobile Health Interventions (3586) Clinical Communication, Electronic Consultation and Telehealth (674) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1546) mHealth for Rehabilitation (296) Innovations in Exercise Rehabilitation (238) Stroke (191)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56417, first published .
Smartphone-Based Speech Therapy for Poststroke Dysarthria: Pilot Randomized Controlled Trial Evaluating Efficacy and Feasibility

Smartphone-Based Speech Therapy for Poststroke Dysarthria: Pilot Randomized Controlled Trial Evaluating Efficacy and Feasibility

Smartphone-Based Speech Therapy for Poststroke Dysarthria: Pilot Randomized Controlled Trial Evaluating Efficacy and Feasibility

Authors of this article:

Yuyoung Kim1 Author Orcid Image ;   Minjung Kim1, 2 Author Orcid Image ;   Jinwoo Kim1, 2 Author Orcid Image ;   Tae-Jin Song3 Author Orcid Image
Article Authors Cited by (7) Tweetations (5) Metrics

Journals

  1. Sage A, Badura P. Detection and Segmentation of Mouth Region in Stereo Stream Using YOLOv6 and DeepLab v3+ Models for Computer-Aided Speech Diagnosis in Children. Applied Sciences 2024;14(16):7146 View
  2. Green J. Artificial Intelligence in Communication Sciences and Disorders: Introduction to the Forum. Journal of Speech, Language, and Hearing Research 2024;67(11):4157 View
  3. Li D, Guo H, Sun Y, Zhang Z, Liu H. Knowledge, attitude, and practice of stroke patients' family members towards stroke rehabilitation: A cross-sectional study. Journal of Stroke and Cerebrovascular Diseases 2025;34(2):108177 View
  4. Khodaveisi T, Bouraghi H, Saeedi S, Ghazisaeedi M, Seifpanahi M, Ahsanifar S, Vafaeeyan S. Mobile health in communication disorders: willingness to use, attitude, advantages, and challenges from the perspective of patients. BMC Health Services Research 2025;25(1) View
  5. Shin H, Cho I, Choi W, Kim H, Kang M, Yang W. Digital therapeutics in Korea: current status, challenges, and future directions – a narrative review. Journal of Yeungnam Medical Science 2024;42:8 View
  6. Krýže P, Illner V, Kouba T, Novotný M, Šimek M, Švihlík J, Tykalová T, Rusz J. VASIR: Open-Source Android Application for Visual Analog Scale Intelligibility Rating of Dysarthric Speech. IEEE Access 2025;13:36492 View
  7. S A, R P, M R. Comparative analysis of different time-frequency image representations for the detection and severity classification of dysarthric speech using deep learning. Results in Engineering 2025;25:104561 View