ArticlePattern recognition letters2020
Trends in IoT based solutions for health care: Moving AI to the edge.
Article in Pattern recognition letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Collaborative networks, trends, and comparative analysis of artificial intelligence techniques in healthcare research: a narrative review.Osong public health and research perspectives · 2026Article
- AI digital-twin ecosystem translating gut-microbiome-neuroimmune signals into precision sleep-mood interventions.Frontiers in psychiatry · 2026Review
- Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Efficient Limb Range of Motion Analysis from a Monocular Camera for Edge Devices.Sensors (Basel, Switzerland) · 2025Article
- Delphi Assessment of Home-Based Digital Healthcare for Aging Patients: A Biopsychosocial Perspective.Clinical interventions in aging · 2025Article
- Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management.Sensors (Basel, Switzerland) · 2024Article
- Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system.Scientific reports · 2024Article
- Exercise Promotion System for Single Households Based on Agent-Oriented IoT Architecture.Sensors (Basel, Switzerland) · 2024Article
- Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson's Disease: A Study on Speaker Diarization and Classification Techniques.Sensors (Basel, Switzerland) · 2024Article
- Federated clustered multi-domain learning for health monitoring.Scientific reports · 2024Article
- Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics.PeerJ. Computer science · 2024Article
- Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Towards a Secure Technology-Driven Architecture for Smart Health Insurance Systems: An Empirical Study.Healthcare (Basel, Switzerland) · 2023Article
- Digital health for aging populations.Nature medicine · 2023Review
- Adaptive Peptide Molecule as the Promising Highly-Efficient Gas-Sensor Material: In Silico Study.Sensors (Basel, Switzerland) · 2023Article
- IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring.Sensors (Basel, Switzerland) · 2023Review
- Managing Security of Healthcare Data for a Modern Healthcare System.Sensors (Basel, Switzerland) · 2023Article
- Development and Performance Evaluation of an IoT-Integrated Breath Analyzer.International journal of environmental research and public health · 2023Article
- The promise of digital healthcare technologies.Frontiers in public health · 2023Review
- Real-time arrhythmia detection using convolutional neural networks.Frontiers in big data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent times, we assist to an ever growing diffusion of smart medical sensors and Internet of things devices that are heavily changing the way healthcare is approached worldwide. In this context, a combination of Cloud and IoT architectures is often exploited to make smart healthcare systems capable of supporting near realtime applications when processing and performing Artificial Intelligence on the huge amount of data produced by wearable sensor networks. Anyway, the response time and the availability of cloud based systems, together with security and privacy, still represent critical issues that prevents
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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.