ArticleNature communications2022
Challenges in digital medicine applications in under-resourced settings.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Ethical and Regulatory Challenges of Generative Artificial Intelligence in Healthcare: A Chinese Perspective.Journal of clinical nursing · 2026Article
- A community-codesigned LLM-powered chatbot for primary care: a randomized controlled trial.Nature health · 2026Article
- Digitalisation of medicine in LMICs (sub-Saharan Africa): enablers, barriers, and funding strategies for sustainable health systems.Frontiers in public health · 2026Review
- Large language models and child mortality: opportunities and challenges in answering public queries on under-5 causes.Frontiers in public health · 2026Article
- Evidence based consensus statements for digital tools to address youth mental health literacy.Scientific reports · 2025Article
- Leveraging Electronic Health Records in International Humanitarian Clinics for Population Health Research: Cross-Sectional Study.JMIR public health and surveillance · 2025Article
- Hospital Artificial Intelligence/Machine Learning Adoption by Neighborhood Deprivation.Medical care · 2025Article
- AI-assisted facial analysis in healthcare: From disease detection to comprehensive management.Patterns (New York, N.Y.) · 2025Review
- Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions.Cell reports. Medicine · 2024Review
- Inception of the Indian Digital Health Mission:Health care science · 2023Article
- The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems.Clinics and practice · 2023Review
- Achieving universal health coverage in low- and middle-income countries through digital antimicrobial stewardship.Frontiers in digital health · 2023Article
- The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis.Clinical ophthalmology (Auckland, N.Z.) · 2023Article
- Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review.Diagnostics (Basel, Switzerland) · 2022Review
- Beyond individual barriers and facilitators: Digital interventions to address diabetes in urban Ghana.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
0 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.