Bioengineering an AI-augmented platform for remote mental health interventions
This study developed and tested a new teletherapy system (a case management platform and a video-based therapy platform with support for remote EMDR) that uses artificial intelligence (AI) to improve remote psychological treatment and reduce therapists’ workload.
Article Abstract
“This study developed and tested a new teletherapy system that uses artificial intelligence (AI) to improve remote psychological treatment and reduce therapists’ workload. The system includes a case management platform and a video-based therapy platform with support for remote Eye Movement Desensitization and Reprocessing (EMDR). After each session, the system uses AI tools such as emotion recognition, speech-to-text, and a large language model to automatically create a session summary and report, including emotional changes and a transcript. Real-time eye movement tracking and distance monitoring help standardize remote EMDR procedures. The case management system improves efficiency by helping schedule sessions and reminding clients (rated 4.25±0.83 out of 5). In clinical trials, AI-generated summaries reduced report writing time by over 50 %. Less experienced therapists found the emotion recognition tool helpful for self-reflection (4.3 ± 0.64), while experienced therapists believed the EMDR tools improved their remote consultation skills (4.2 ± 0.75). User feedback shows the system is easy to use, with therapists rating it 4.83 and clients 4.33 for ease of use. Overall, the system improves access to mental health services, increases workflow efficiency, and supports professional development in digital therapy.
Highlights:
- AI-generated summaries reduce therapists’ report-writing time by >50 %, improving the clinical workflow and documentation efficiency.
- The system enables remote EMDR therapy with real-time eye tracking and distance monitoring, ensuring treatment fidelity without requiring specialized hardware.
- Emotion recognition using a Swin transformer model trained on Taiwanese datasets achieved an F1 score of 0.831, supporting culturally sensitive facial emotion analysis.
- Deployed on the AWS cloud, the platform offers secure, scalable access with no software installation needed, which is ideal for broad implementation.
- Early-career therapists reported improved self-reflection (4.3 ± 0.64) and confidence in remote consultation (4.2 ± 0.75), highlighting the system’s impact on professional development.”
—Description from publisher
Article Access
Open Access
Wu, J. Y., Chen, Y-J., Lin, Y-F., Shing Ching, C. T., Wang, H-M., D., Chen, Y-C., Juan, Y-C., & Liao, L-D. (2025). Bioengineering an AI-augmented platform for remote mental health interventions. Results in Engineering, 27, 105931. https://doi.org/10.1016/j.rineng.2025.105931
Date
June 27, 2025
Creator(s)
Ju Yu Wu, Yu-Jie Chen, Yen-Feng Lin
Contributor(s)
Congo Tak Shing Ching, Hui-Min David Wang, Yi-Chung Chen, Yang-Chou Juan, Lun-De Liao
Practice & Methods
Telehealth, Virtual Reality/Technology, Your EMDR Practice
Publisher
Elsevier B.V
Rights
© 2025 Elsevier GmbH. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
APA Citation
Wu, J. Y., Chen, Y-J., Lin, Y-F., Shing Ching, C. T., Wang, H-M., D., Chen, Y-C., Juan, Y-C., & Liao, L-D. (2025). Bioengineering an AI-augmented platform for remote mental health interventions. Results in Engineering, 27, 105931. https://doi.org/10.1016/j.rineng.2025.105931
Audience
EMDR Therapists
Language
English
Content Type
Article, Peer-Reviewed
Access Type
External Resource, Open Access