ArticleOxford open digital health2025
Global South-led responsible AI solutions to strengthen health systems: an emergent research landscape.
Article in Oxford open digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- The AI4GH community of practice: strengthening LMIC-Led artificial intelligence for global health.NPJ digital medicine · 2026Article
- Advancing epidemic intelligence: evaluating Senegal's mpox surveillance system and readiness for AI-driven predictive modelling.Frontiers in public health · 2026Article
- Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries.Microbial biotechnology · 2025Article
- Beyond no harm: Advancing research on artificial intelligence for sexual and reproductive health and rights.npj women's health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) solutions are being adopted across the globe, including the Global South, to address health needs and strengthen health systems. The rapid adoption of AI solutions provides tremendous potential to redress health inequities and strengthen health systems. It also entails substantial risks of deepening inequities, creating new forms of exclusion and weakening fragile health systems. Drawing on field-based case studies and interdisciplinary consultations, this paper presents an emergent research landscape that prioritizes health equity, gender equality, ethical safeguards, inclusive governance and Global South leadership. Three entry points for implementation research are proposed, which are situated within five cross-cutting prerequisites.
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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.