Abstract:
This paper examines the emerging role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing medical tourism, specifically focusing on the journey of pati...Show MoreMetadata
Abstract:
This paper examines the emerging role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing medical tourism, specifically focusing on the journey of patients from Uzbekistan to India. As medical tourism flourishes, the integration of AI and ML offers unprecedented opportunities to improve patient experiences and outcomes, particularly for Uzbek patients seeking advanced medical care in India. We explore how AI and ML can revolutionize various aspects of medical tourism, including personalized patient care, accurate diagnostics, and efficient treatment planning. The study examines the use of AI-driven solutions for seamless coordination of healthcare services, allowing everything from remote consultations to post-treatment care, thereby eliminating geographical and language constraints. However, major difficulties and ethical concerns are raised by the introduction of such technology. Data privacy, algorithmic bias, and the administration of international healthcare data are among the topics examined in depth. We stress the need for strong legal and ethical frameworks to be put in place to protect patient data and provide access to quality healthcare for everyone. The purpose of this research is to provide light on the opportunities and challenges that AI and ML present for influencing the future of medical tourism between Uzbekistan and India.
Published in: 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
Date of Conference: 01-03 November 2023
Date Added to IEEE Xplore: 25 January 2024
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