ReviewFrontiers in artificial intelligence2020
Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.
Review in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- A Mixed-Methods Study of Policymakers' Adoption of AI to Support Use of Research Evidence: Implications for Artificial Intelligence in Prevention Policy.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Artificial Intelligence in Addressing Interpersonal Violence Against Vulnerable Populations: A Scoping Review.Revista brasileira de enfermagem · 2026Article
- Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.JMIR mHealth and uHealth · 2025Article
- Motivating Transparent Communications about Bias in Healthcare Technology Development.Collabra. Psychology · 2025Article
- Ethical and Practical Considerations of Artificial Intelligence in Pediatric Medicine: A Systematic Review.Cureus · 2025Review
- Determinants of victimization in patients with severe mental illness: results from a nation-wide cross-sectional survey in the Netherlands.Frontiers in psychiatry · 2025Article
- Harnessing Machine Learning in Tackling Domestic Violence-An Integrative Review.International journal of environmental research and public health · 2023Review
- Use of technology in evidence-based programs for child maltreatment and its impact on parent and child outcomes.Frontiers in digital health · 2023Review
- Improving child health through Big Data and data science.Pediatric research · 2023Review
- Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter.Healthcare (Basel, Switzerland) · 2022Article
- Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.International journal of environmental research and public health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Violence against children is a global public health threat of considerable concern. At least half of all children worldwide experience violence every year; globally, the total number of children between the ages of 2 and 17 years who have experienced violence in any given year is one billion. Based on a review of the literature, we argue that there is substantial potential for AI (and associated machine learning and big data), and mHealth approaches to be utilized to prevent and address violence at a large scale. This
Indexed as
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.