ArticleRevista da Associacao Medica Brasileira (1992)2022
Artificial intelligence and machine learning in pediatrics and neonatology healthcare.
Article in Revista da Associacao Medica Brasileira (1992), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The intelligent neonatal healthcare: a systematic review of machine learning architectures integrating the internet of medical things and blockchain.Frontiers in artificial intelligence · 2026Pooled it
- Heterogeneity in treatment response for patent ductus arteriosus: a meta-analysis.European journal of pediatrics · 2025Pooled it
- Machine Learning Using Electroencephalography Predicts Acute Cerebral Injury in the Pediatric ICU.Neurocritical care · 2026Article
- From clusters to clinical rules: unsupervised machine learning identifies four newborn hearing phenotypes with bedside risk stratification.BMC pediatrics · 2026Article
- Transforming Pediatric Urology With Artificial Intelligence: A Narrative Review of Current Evidence and Practice.Cureus · 2026Review
- Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.Health care analysis : HCA : journal of health philosophy and policy · 2025Article
- Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.Paediatric drugs · 2025Review
- Postural Analysis in Ventral and Dorsal Decubitus Babies Using Deep Learning Techniques: A Protocol Study.Journal of clinical medicine · 2025Article
- Next-generation pediatric care: nanotechnology-based and AI-driven solutions for cardiovascular, respiratory, and gastrointestinal disorders.World journal of pediatrics : WJP · 2025Review
- Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances.Diagnostics (Basel, Switzerland) · 2024Review
- Applied artificial intelligence for global child health: Addressing biases and barriers.PLOS digital health · 2024Review
- Editorial: Artificial intelligence and machine learning in pediatric surgery.Frontiers in pediatrics · 2024Article
- Applications of artificial intelligence in the management of childhood obesity.Journal of family medicine and primary care · 2023Review
- Complete blood count and C-reactive protein to predict positive blood culture among neonates using machine learning algorithms.Clinics (Sao Paulo, Brazil) · 2023Article
- Comment on "Artificial intelligence and machine learning in pediatrics and neonatology healthcare".Revista da Associacao Medica Brasileira (1992) · 2022Article
- Current status and challenges of artificial intelligence application in managing Children's emotions and attention.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.