ArticleInternational journal of environmental research and public health2018
Artificial Intelligence and Big Data in Public Health.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 4 of them syntheses 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
97 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The performance of artificial intelligence in image-based prediction of hematoma enlargement: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review.JMIR human factors · 2025Pooled it
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Artificial Intelligence as a Core Public Health Competency: Proposal and Perspectives in Education and Research.JMIR medical education · 2026Article
- Artificial Intelligence Adoption in Public Health Practice: A Cross-Sectional Study of Practical Determinants Among Healthcare Professionals.Healthcare (Basel, Switzerland) · 2026Article
- Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance.Journal of medical Internet research · 2026Article
- Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.BMC gastroenterology · 2026Article
- Explainable AI based ensemble model for the identification of Schizophrenia prodromal phase.Scientific reports · 2026Article
- Development of a multimodal magnetic resonance imaging-based machine learning prediction model for flight cadets.Scientific reports · 2026Article
- Analysis of Risk Prediction Model for Recurrence of Trigeminal Neuralgia After Percutaneous Balloon Compression.Pain research & management · 2026Article
- The Role of Artificial Intelligence in Modern Medicine: Clinical Applications, Economic Implications, and Ethical Considerations.Current pharmaceutical design · 2026Review
- Artificial intelligence in Brazilian public health: potential, challenges, and ethical implications for the Brazilian Unified Health System.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026Article
- The complex task of modelling artificial intelligence workflows for forecasting postoperative risk.Journal of anesthesia, analgesia and critical care · 2025Article
- ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study.JMIR formative research · 2025Article
- Neural networks to estimate multiple sclerosis disability and predict progression using routinely collected healthcare data.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation.Scientific reports · 2025Article
- Development and validation of a machine learning model for predicting venous thromboembolism complications following colorectal cancer surgery.Visual computing for industry, biomedicine, and art · 2025Article
- Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.Journal of global health · 2025Article
- Construction of risk prediction model of sentinel lymph node metastasis in breast cancer patients based on machine learning algorithm.Discover oncology · 2025Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence.
Indexed as
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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.