SynthesisSensors (Basel, Switzerland)2022
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review.
Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 71 citations in OpenAlex.
- The promise and peril of AI for disability health equity: A justice-centered narrative review.PLOS digital health · 2026Review
- Inclusive Digital Health Strategies for Persons With Disabilities: A Scoping Review.JAMA network open · 2026Article
- Internet of things in assistive technology for people with visual impairment: A scoping review.Indian journal of ophthalmology · 2026Article
- Exploring the prospects of artificial intelligence in transforming dental care for special needs groups: mapping the current evidence.BDJ open · 2026Article
- Innovative Assistive Technologies for Tetraplegia: A Narrative Review of Systematic and Emerging Evidence.Healthcare (Basel, Switzerland) · 2026Review
- Examining the Acceptance and Use of AI-Based Assistive Technology Among University Students with Visual Disability: The Moderating Role of Physical Self-Esteem.Bioengineering (Basel, Switzerland) · 2025Article
- Development of a Fully Autonomous Offline Assistive System for Visually Impaired Individuals: A Privacy-First Approach.Sensors (Basel, Switzerland) · 2025Article
- Assessing the impact of AI tools on mobility and daily assistance for children with down syndrome in Saudi Arabia.Scientific reports · 2025Article
- Multi-faceted sensory substitution using wearable technology for curb alerting: a pilot investigation with persons with blindness and low vision.Disability and rehabilitation. Assistive technology · 2025Article
- AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making.Scientific reports · 2025Article
- Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews.Healthcare (Basel, Switzerland) · 2025Review
- Exploration of the path of digital technology empowering the sustainable development of alumni football-a study based on ordinal logistic regression analysis.Frontiers in sports and active living · 2025Article
- Optimal Treatment Strategies of AIoT Based Wearable Devices for Stroke Walking in the Rehabilitation Training of Ischemic Stroke Patients: A Real-World Cohort Study Using Propensity-Score Matched Analysis.International journal of general medicine · 2025Article
- Enhancing accessibility: a multi-level platform for visual question answering in diabetic retinopathy for individuals with disabilities.Frontiers in artificial intelligence · 2025Article
- From abandonment to adoption: advancing assistive technologies for blindness and low vision in the AI era.Frontiers in digital health · 2025Article
- Enhancing Situational Awareness with VAS-Compass Net for the Recognition of Directional Vehicle Alert Sounds.Sensors (Basel, Switzerland) · 2024Article
- A Comprehensive Survey on Emerging Assistive Technologies for Visually Impaired Persons: Lighting the Path with Visible Light Communications and Artificial Intelligence Innovations.Sensors (Basel, Switzerland) · 2024Review
- Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review.Psychology research and behavior management · 2024Review
- Visible Light Communications-Based Assistance System for the Blind and Visually Impaired: Design, Implementation, and Intensive Experimental Evaluation in a Real-Life Situation.Sensors (Basel, Switzerland) · 2023Article
- Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach.Sensors (Basel, Switzerland) · 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
6 authors at 2 institutions in 2 countries.
Funding
Abstract
According to the World Health Organization, about 15% of the world's population has some form of disability. Assistive Technology, in this context, contributes directly to the overcoming of difficulties encountered by people with disabilities in their daily lives, allowing them to receive education and become part of the labor market and society in a worthy manner. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things (AIoT) devices. AIoT processes and analyzes the large amount of data generated by Internet of Things (IoT) devices and applies Artificial Intelligence models, specifically, machine learning, to discover patterns for generating insights and assisting in decision making. Based on a systematic literature review, this article aims to identify the machine-learning models used across different research on Artificial Intelligence of Things applied to Assistive Technology. The survey of the topics approached in this article also highlights the context of such research, their application, the IoT devices used, and gaps and opportunities for further development. The survey results show that 50% of the analyzed research address visual impairment, and, for this reason, most of the topics cover issues related to computational vision. Portable devices, wearables, and smartphones constitute the majority of IoT devices. Deep neural networks represent 81% of the machine-learning models applied in the reviewed research.
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.