This study began with the aim of addressing global healthcare challenges—aging populations, resource shortages, and regional disparities—by integrating artificial intelligence (AI) into telemedicine. The objective was to explore the application of AI-driven telemedicine in Asia, the United States, and Europe to enhance healthcare accessibility, efficiency, and diagnostic accuracy.
The study adopted a mixed-methods approach, including surveys and qualitative case studies. The surveys covered 50 healthcare professionals, 100 elderly patients, and 50 AI developers, focusing on system usability, trust in AI, data privacy, and ethical concerns. The qualitative case studies analyzed the current state and exemplary practices of telemedicine in each region.The findings revealed significant regional differences: Asia's market is rapidly developing, the United States features a mature system constrained by regulatory barriers, and Europe prioritizes data privacy and compliance. Common challenges identified across regions include trust in AI, safeguarding sensitive data, and improving overall system usability. These challenges highlight the need to enhance transparency in AI decision-making processes and implement stronger data protection measures. Based on the findings, the study recommends the following: Customize system features to meet regional needs and improve user experience. Strengthen data privacy protections through advanced technologies and robust policy frameworks. Establish clear ethical guidelines to improve transparency and foster user trust in AI-driven telemedicine systems. This study offers practical recommendations for the development of AI-powered telemedicine systems tailored to diverse global contexts.