Title: Intelligent Telehealth Systems with AI-Based Symptom Analysis and Doctor Alerting: A Review
Authors: Isaya J. Ngulo, Jaston S. Ngadata, Meshack J. Mlyanginu, Annastazia Nigo, Awasi Awasi, Apolinali Kiungo, Asteria W. Adamu, Masanja Cosmas.
Volume: 10
Issue: 2
Pages: 71-74
Publication Date: 2026/02/28
Abstract:
The rapid advancement of digital technologies has significantly transformed healthcare delivery through telehealth systems. These systems enable remote diagnosis, consultation, and monitoring, thereby improving access to healthcare services, particularly in underserved and rural regions. However, many existing telehealth platforms rely heavily on manual physician review or standalone artificial intelligence (AI) applications, which may result in delayed response times or inaccurate assessments in critical situations. This review examines intelligent telehealth systems that integrate AI-based symptom analysis with real-time doctor alerting mechanisms. Relevant literature is analyzed to identify system capabilities, limitations, and ethical concerns. The review highlights the importance of a doctor-in-the-loop approach, where AI functions as a clinical decision-support tool rather than an autonomous diagnostic system. Findings indicate that integrating AI-driven symptom analysis with automated doctor notification can enhance emergency response, patient safety, and overall healthcare efficiency.