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Perspective examines AI's role in travel medicine, highlighting benefits and challenges in implementation.
Artificial intelligence (AI) is increasingly influencing travel medicine, a field traditionally reliant on expert judgement and static guidelines. Machine learning systems, generative AI models and digital surveillance tools have the potential to enhance pre-travel counselling, improve diagnostic pathways and strengthen outbreak detection. However, concerns remain regarding variable performance, data privacy and the absence of clear regulatory frameworks. This Perspective examines the role of AI across the travel health continuum, highlighting both opportunities and limitations. Rather than replacing clinical expertise, AI should be carefully validated and integrated to support decision-making. Responsible implementation could improve access, personalize care and strengthen global health security. AI can support personalized travel risk assessment and surveillance. Clinical oversight remains essential for all AI-assisted decisions. Validation, explainability and accountability are prerequisites for implementation. Governance and equity considerations will determine long-term success.
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Perry J. J. van Genderen (2026) studied this question.
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