Artificial Intelligence in Telehealth: Enhancing Diagnostic, Monitoring, and Accessibility Solutions

Artificial Intelligence (AI) is revolutionizing telehealth by addressing persistent challenges in diagnosis, patient monitoring, and healthcare accessibility. This paper evaluates AI's integration into telehealth systems, emphasizing its transformative role in enhancing diagnostic precision, personalizing treatments, and bridging gaps in healthcare equity. The study explores methodologies such as machine learning, natural language processing, and predictive analytics, presenting their impact on optimizing care delivery. Ethical implications and regulatory challenges are analyzed alongside future directions to establish AI as a cornerstone of digital healthcare innovation.