ReviewNPJ digital medicine2025
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia.
Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Mapping National Governance of AI for Health: Protocol for a Global Scoping Review.JMIR research protocols · 2026Article
- Healthcare Providers' Perceptions and Multi-Level Determinants of Adoption of an AI-Powered Electrocardiography Interpretation Clinical Decision Support System in Ethiopia: A Formative Qualitative Study.International journal of environmental research and public health · 2026Article
- Ethical challenges and governance of artificial intelligence in hepatocellular carcinoma management : Wan DL et al. Ethical considerations in AI for hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2025Review
- Reclaiming clinical time: The promise and challenges of ambient AI for oncology nurses in the Asia-Pacific region.Asia-Pacific journal of oncology nursing · 2025Article
- AI policy in healthcare: a checklist-based methodology for structured implementation.Journal of anesthesia, analgesia and critical care · 2025Article
- Generative Artificial Intelligence is Emerging as a Phantom Doctor in Low- and Middle-Income Countries - Health Systems Must Respond.Journal of medical systems · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors.
Funding
Abstract
AI can transform healthcare in LMICs by improving access, reducing costs, and enhancing efficiency. However, challenges such as safety, bias, and the resource constraints need to be addressed. Further, collaboration across domains is essential to develop capacity, user-friendly tools, and training. Ethical considerations should be central to AI deployment. By emphasizing gender equity, fairness, and responsible design, LMICs can harness AI's power to enhance healthcare outcomes and advance equitable care.
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.