ReviewHeliyon2018
State-of-the-art in artificial neural network applications: A survey.
Review in Heliyon, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 289 papers, 3 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
289 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Impact and Role of Artificial Intelligence (AI) in Healthcare: Systematic Review.Current topics in medicinal chemistry · 2025Pooled it
- Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- IoT Adoption and Application for Smart Healthcare: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph.BMC neurology · 2022Trial
- Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation.Bioactive materials · 2027Article
- Assessment of Crack Resistance and Influencing Factors of Ultra-Thin Asphalt Overlay Mixtures Using SCB Testing.Materials (Basel, Switzerland) · 2026Article
- From data to decisions: The role of machine learning in precision ecological restoration.Ecological applications : a publication of the Ecological Society of America · 2026Review
- Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.medRxiv : the preprint server for health sciences · 2026Article
- Red fescue (Festuca rubra L.) variety recognition using subset division and neural networks.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning.Tropical medicine & international health : TM & IH · 2026Article
- How Neuromorphic Microstructures Control In Vitro Early-Stage Neuronal Outgrowth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multi-scale hybrid composites of erythritol/diatomite/GNP for enhanced thermal energy storage: experimental and machine learning optimization.Scientific reports · 2026Article
- Information geometry aided UAV cluster cooperative positioning method with LEO satellite system.Scientific reports · 2026Article
- Use of artificial neural network optimization for MHD and non-Newtonian peritoneal Jeffery nanofluid dynamics on female reproductive health.Journal of biological engineering · 2026Article
- Deep learning-based double-sided fudge detection system with integrated physical components.Scientific reports · 2026Article
- Modeling and optimization of methylene blue adsorption on biochar via artificial neural network (ANN).Biodegradation · 2026Article
- Development and deployment of a groundwater quality prediction tool for Béchar, Southwest Algeria: benchmarking seven machine learning algorithms.Water science and technology : a journal of the International Association on Water Pollution Research · 2026Article
- Bifurcated Networks for Breast Density & Cancer Risk: A Technical Framework.Diagnostics (Basel, Switzerland) · 2026Article
- Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework.Scientific reports · 2026Article
- From gaze to proficiency: deep learning-driven prediction of novice performance in laparoscopic training using AOI-dependent metrics.Surgical endoscopy · 2026Article
229 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and area of focus for researchers. Additionally, the study presents ANN application challenges, contributions, compare performances and critiques methods. The study covers many applications of ANN techniques in various disciplines which include computing, science, engineering, medicine, environmental, agriculture, mining, technology, climate, business, arts, and nanotechnology, etc. The study assesses ANN contributions, compare performances and critiques methods. The study found that neural-network models such as feedforward and feedback propagation artificial neural networks are performing better in its application to human problems. Therefore, we proposed feedforward and feedback propagation ANN models for research focus based on data analysis factors like accuracy, processing speed, latency, fault tolerance, volume, scalability, convergence, and performance. Moreover, we recommend that instead of applying a single method, future research can focus on combining ANN models into one network-wide application.
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.