Natural Language Symptom Triage and Asynchronous Clinical Decision Support: AI-Based Solutions for Enhancing Telemedicine Quality and Access

Authors

  • Anna Schmidt Professor of Human-Computer Interaction, Swinburne University of Technology

Keywords:

natural language symptom triage, asynchronous clinical decision support, solutions, enhancing telemedicine quality, machine learning

Abstract

On AI-based solutions in telemedicine and practical healthcare application Introduction Today, the evolution of technologies can greatly influence the everyday life of people around the globe. The profound effects of these developments are visible in different sectors, including healthcare. A few decades ago, the delivery and availability of proper healthcare were restricted by geographical boundaries and patient access to facilities. However, this situation has changed dramatically.

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Published

30-06-2026

How to Cite

[1]
β€œNatural Language Symptom Triage and Asynchronous Clinical Decision Support: AI-Based Solutions for Enhancing Telemedicine Quality and Access”, J. of Art. Int. & Research, vol. 6, no. 1, pp. 1–11, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/JAIR/article/view/828