Artificial Intelligence and Machine Learning in Travel Health

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Author(s): Hemant Yadav (FIET, India), Pooja Yadav (M.J.P. Rohilkhand University, Bareilly, India)and S. C. Sharma (Indian Institute of Technology, Roorkee, India)
Copyright: 2025
Pages: 16
Source title: Navigating Innovations and Challenges in Travel Medicine and Digital Health
Source Author(s)/Editor(s): Saurabh Agarwal (Yeungnam University, South Korea), D. Lakshmi (VIT Bhopal University, India)and Lalit Singh (Future University, India)
DOI: 10.4018/979-8-3693-8774-0.ch004

Keywords: Healthcare Administration / Knowledge Management and Library Science / Medical Information Science Reference / Telemedicine

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Abstract

In recent years, artificial intelligence (AI) and machine learning (ML) have become a crucial part of various industries, including travel. As travelers become increasingly sophisticated in their needs and demands, travel companies must keep up with the ever-changing market. By integrating AI and ML into their operations, travel companies can gather and analyze vast amounts of data to better understand their customers and improve the overall travel experience. Travel health management is increasingly complex due to global mobility, emerging diseases, and the need for personalized health solutions anywhere, anyplace, and anytime (3As). This chapter will explore how AI and ML technologies are revolutionizing travel healthcare in the 21st Century. The chapter will deal with predictive analytics, personalized health recommendations, real-time monitoring, ethical concerns, and the next decade's travel healthcare challenges with innovative solutions using AI and ML.

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