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صفحه اصلی
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International Conference on Artificial Intelligence; City, Industry and Health
Evaluating AI Diagnostic Tools for Use in Remote Medical Settings
نویسندگان :
Zahra Abiri
1
1- Department of Medicine, Na.C., Islamic Azad University, Najafabad, Iran
کلمات کلیدی :
Artificial Intelligence،AI Diagnostic Tools،Medical Chatbots،Remote Healthcare،Smart Imaging Systems،Telemedicine
چکیده :
Abstract: With the growing demand for healthcare services in remote and underserved areas that lack proper medical infrastructure, the use of artificial intelligence (AI)-based diagnostic tools has emerged as a promising solution. This paper presents a comparative review of modern diagnostic technologies employed in remote healthcare environments, including natural language-based medical chatbots, AI-powered medical imaging analysis systems, and health data analytics platforms for disease prediction. Each of these tools is thoroughly evaluated based on diagnostic accuracy, response speed, scalability, user interaction, and integration with electronic health systems. Beyond technical assessment, this paper also addresses ethical considerations and privacy challenges, analyzing how these technologies complement clinical skills and reduce the workload of medical staff. Real-world applications from various countries are examined to provide a comprehensive understanding of the capabilities and limitations of these tools in the field of telemedicine. The ultimate aim is to present a comprehensive outlook on the current and future landscape of AI diagnostic tools in remote healthcare and assist healthcare decision-makers in their effective adoption and implementation.
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