ReviewThe Lancet regional health. Europe2025
Artificial Intelligence in migrant health: a critical perspective on opportunities and risks.
Review in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-Based Approaches to Refugee Mental Health Care: Systematic Integrative Review.Journal of medical Internet research · 2026Pooled it
- Digital Framing in End-of-Life Communication: Constructing "Good Death" Support in the Discourse of Hospice Care Institutions in the UK and Hong Kong.Healthcare (Basel, Switzerland) · 2026Article
- Refugee-centered framework for design of digital health interventions: a qualitative study with Ukrainian refugee women in Norway.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid advances in Artificial Intelligence (AI) are leading to the proliferation of health applications. AI presents both opportunities and risks for migrants, including refugees, and asylum-seekers. This Personal View provides a critical perspective on opportunities and risks of using AI in migrant health. It synthesises literature insights to highlight the potential health benefits of AI, for both the general population and migrants, in areas including information retrieval, translation, education, empowerment, disease prevention and diagnosis, and personalised treatments. It addresses risks posed by AI, including the potential for tracking and monitoring individuals, which could threaten the anonymity and freedom of those using digital services, as well as the perpetuation or exacerbation of biases in the algorithms used. Current deficiencies in AI, including issues of quality and tendencies to sometimes invent data, as well as to reinforce existing biases and discriminatory processes, may also adversely impact on various groups of migrants coming from different parts of the world, compounding existing ethical challenges. Given the high level of digital infrastructure and opportunities for coherent policy-making and regulatory control within the region, Europe can provide leadership in developing guidelines, policies and agreements ensuring that AI serves migrants' health needs while not compromising their rights.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.