Enhancing Telemedicine through Computer Vision and AI: Creating Smart Algorithms for Remote Patient Monitoring, Triage, and Consultation
Doan Van Hieu
Abstract
Telemedicine has emerged as a vital aspect of healthcare delivery, providing remote access to medical services and improving patient care. With the advancements in computer vision and artificial intelligence (AI) technologies, there is a significant opportunity to enhance telemedicine systems by developing intelligent algorithms for remote patient monitoring, triage, and consultation. This research article explores the potential of integrating computer vision and AI techniques into telemedicine platforms, focusing on their applications in real-time patient monitoring, symptom analysis, and virtual consultations. By examining the current state of research, case studies, and future prospects, we aim to highlight the transformative potential of these technologies in improving the efficiency, accessibility, and quality of telemedicine services. The article also discusses the challenges and considerations associated with the implementation of AI-driven telemedicine systems, including data privacy, algorithmic bias, and the need for robust infrastructure and standardization.
Author Biography
Doan Van Hieu
Doan Van Hieu, Department of Economics, Bac Lieu University, 126C Cao Van Lau Street, Ward 3, Bac Lieu City, Bac Lieu Province, Vietnam
