Digitalization, Artificial Intelligence, and Virtual Reality in Speech-Language Pathology: Toward a Data-Driven Practice

Digitalización, Inteligencia Artificial y Realidad Virtual en Fonoaudiología: Hacia una Práctica Basada en Datos

Main Article Content

Abstract

The editorial describes how the technological revolution has transformed speech-language pathology, reshaping evaluation, diagnosis, and clinical intervention. The digitalization of health data now allows the storage of large datasets, the identification of patterns, and the prediction of therapeutic outcomes through machine learning. At the same time, digital platforms with multisensory materials and a growing range of specialized applications are renewing traditional practices.


Digital resources have also strengthened home-based work, improving treatment adherence and the understanding of therapeutic instructions, while digital games offer more intensive training. Telepractice, consolidated during the pandemic, proved effective and expanded access to services, supported by an increasing body of evidence.


New monitoring tools—such as wearable sensors, vocal dosimeters, and devices that record communicative behavior—provide objective measurements in real-life contexts. Virtual reality creates opportunities to train communication skills in simulated yet ecologically valid environments. Artificial intelligence and the Internet of Things are emerging as powerful areas of innovation, from conversational agents to complex monitoring systems.


Despite these advances, there is a gap between technological innovation and its incorporation into academic training and clinical practice. The field must critically integrate these tools, update teaching models, and adopt data-driven, evidence-based approaches to strengthen therapeutic effectiveness and broaden the scope of speech-language pathology.

Downloads

Download data is not yet available.

Article Details

Author Biography / See

Daniel Rodríguez Marconi, Universidad de Temuco

Académico Carrera de Fonoaudiología, Universidad Católica de Temuco, Chile. Candidato a Doctor en Tecnologías para la Salud y el Bienestar, Universidad Politécnica de Valencia.

References

Bottalico, P., & Nudelman, C. J. (2023). Do-it-yourself voice dosimeter device: A tutorial and performance results. Journal of Speech, Language, and Hearing Research, 66(7), 2149-2163.

Deka, C., Shrivastava, A., Abraham, A. K., Nautiyal, S., & Chauhan, P. (2025). AI-based automated speech therapy tools for persons with speech sound disorder: A systematic literature review. Speech, Language and Hearing, 28(1), 2359274.

Ding, H., Simmich, J., Vaezipour, A., Andrews, N., & Russell, T. (2024). Evaluation framework for conversational agents with artificial intelligence in health interventions: A systematic scoping review. Journal of the American Medical Informatics Association, 31(3), 746-761.

Guglani, I., Sanskriti, S., Joshi, S. H., & Anjankar, A. (2023). Speech-language therapy through telepractice during COVID-19 and its way forward: A scoping review. Cureus, 15(9).

Lekova, A., Andreeva, A., Tanev, T., Simonska, M., & Kostova, S. (2022). A system for speech and language therapy with a potential to work in the IoT. 119-124.

Moyse, K., Enderby, P., Chadd, K., Gadhok, K., Bedwell, M., & Guest, P. (2020). Outcome measurement in speech and language therapy: A digital journey. BMJ Health & Care Informatics, 27(1), e100085.

Munsell, M., De Oliveira, E., Saxena, S., Godlove, J., & Kiran, S. (2020). Closing the digital divide in speech, language, and cognitive therapy: Cohort study of the factors associated with technology usage for rehabilitation. Journal of Medical Internet Research, 22(2), e16286.

Remacle, A., Bouchard, S., & Morsomme, D. (2023). Can teaching simulations in a virtual classroom help trainee teachers to develop oral communication skills and self-efficacy? A randomized controlled trial. Computers and Education, 200, 104808. https://doi.org/10.1016/j.compedu.2023.104808

Saeedi, S., Bouraghi, H., Seifpanahi, M.-S., & Ghazisaeedi, M. (2022). Application of digital games for speech therapy in children: A systematic review of features and challenges. Journal of healthcare engineering, 2022(1), 4814945.

Santos, J., Vairinhos, M., Rodriguez, J., & Jesus, L. M. (2022). Home-based activities for children with speech sound disorders: Requirements for a tangible user interface for internet of things artefacts. Applied Sciences, 12(18), 8971.

Teti, S. D., Murray, L. L., Orange, J., Kankam, K. S., & Roberts, A. C. (2025). Telepractice Assessments for Individuals with Aphasia: A Systematic Review. Telemedicine and e-Health, 31(1), 37-49.

Vaezipour, A., Campbell, J., Theodoros, D., & Russell, T. (2020). Mobile apps for speech-language therapy in adults with communication disorders: Review of content and quality. JMIR mHealth and uHealth, 8(10), e18858.

Citations

Crossref

Scopus
Europe PMC