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<p>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.</p>

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Balancing innovation and risk: artificial intelligence in travel medicine

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月1日

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  • Perry J. J. van Genderen

摘要

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.