ReviewJournal of clinical medicine2019
Artificial Intelligence vs. Natural Stupidity: Evaluating AI readiness for the Vietnamese Medical Information System.
Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Future pharmacists in the age of Artificial Intelligence: a mixed-methods study of first-year students in Vietnam.BMC medical education · 2026Article
- What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?JMIR medical education · 2025Article
- Review
- Healthcare in Vietnam: Harnessing Artificial Intelligence and Robotics to Improve Patient Care Outcomes.Cureus · 2023Article
- Learning health systems in low-income and middle-income countries: exploring evidence and expert insights.BMJ global health · 2022Review
- Article
- Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.Journal of medical Internet research · 2022Article
- The web of clinical data, bioengineering, augmented reality and robotic in vascular surgery.Frontiers in surgery · 2022Article
- Article
- Machine learning in a time of COVID-19 - Can machine learning support Community Health Workers (CHWs) in low and middle income countries (LMICs) in the new normal?Journal of global health · 2021Review
- Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians.Frontiers in public health · 2021Article
- Application Value of a Deep Convolutional Neural Network Model for Cytological Assessment of Thyroid Nodules.Journal of healthcare engineering · 2021Article
- What have Vietnamese scholars learned from researching entrepreneurship? A Systematic review.Heliyon · 2020Review
- Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence.Sensors (Basel, Switzerland) · 2020Article
- Artificial Intelligence (AI) applications in orthopaedics: An innovative technology to embrace.Journal of clinical orthopaedics and trauma · 2020Article
- Artificial Intelligence-Based Thyroid Nodule Classification Using Information from Spatial and Frequency Domains.Journal of clinical medicine · 2019Article
- Artificial Intelligence-Based Classification of Multiple Gastrointestinal Diseases Using Endoscopy Videos for Clinical Diagnosis.Journal of clinical medicine · 2019Article
- Modeling the Pathways of Knowledge Management Towards Social and Economic Outcomes of Health Organizations.International journal of environmental research and public health · 2019Article
- Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review.Therapeutic advances in gastrointestinal endoscopyReview
- The Contribution of Digital Health in the Response to Covid-19 in Vietnam.Frontiers in public 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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review paper presents a framework to evaluate the artificial intelligence (AI) readiness for the healthcare sector in developing countries: a combination of adequate technical or technological expertise, financial sustainability, and socio-political commitment embedded in a healthy psycho-cultural context could bring about the smooth transitioning toward an AI-powered healthcare sector. Taking the Vietnamese healthcare sector as a case study, this paper attempts to clarify the negative and positive influencers. With only about 1500 publications about AI from 1998 to 2017 according to the latest Elsevier AI report, Vietnamese physicians are still capable of applying the state-of-the-art AI techniques in their research. However, a deeper look at the funding sources suggests a lack of socio-political commitment, hence the financial sustainability, to advance the field. The AI readiness in Vietnam's healthcare also suffers from the unprepared information infrastructure-using text mining for the official annual reports from 2012 to 2016 of the Ministry of Health
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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.