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Artificial Intelligence Tools in Pre-Travel Health Consultations: A Scoping Review of Clinical Evidence, Implementation Gaps, and Emerging Opportunities

2026-05-13

Abstract excerpt

<h4>Background: </h4> Pre-travel health consultations require individualised risk assessment across itinerary, destination epidemiology, traveller characteristics, vaccine history, comorbidities, medication profile, pregnancy status, immune status, activities, timing, and access to care [8,10,11]. Artificial intelligence (AI), particularly large language models (LLMs), may support pre-consultation education, struc...

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Literature Corpus work
a3fb091b-b892-5224-baf3-707765648952
DOI
10.20944/preprints202605.0838.v1
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