ReviewHealthcare (Basel, Switzerland)2025
Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews.
Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Medical liability in paediatric robotic surgery - a current concept and a literature review.Journal of robotic surgery · 2026Review
- Inclusive Digital Health Strategies for Persons With Disabilities: A Scoping Review.JAMA network open · 2026Article
- Healthcare professionals show high AI enthusiasm but limited knowledge: A cross-sectional study.PLOS digital health · 2026Article
- Exploring the prospects of artificial intelligence in transforming dental care for special needs groups: mapping the current evidence.BDJ open · 2026Article
- The Access, Initiation, Engagement, Retention, and Recovery (AIERR) Model: A Stage-Based Framework for Understanding Mental Health Service Utilization.Healthcare (Basel, Switzerland) · 2026Review
- Unlikely Storyteller: Leveraging Narrative-Based Communication in LLM-Generated Medical Advice.Healthcare (Basel, Switzerland) · 2026Article
- Review
- Pricing models for diagnostic AI based on qualitative insights from healthcare decision makers.NPJ digital medicine · 2026Article
- Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model.Healthcare (Basel, Switzerland) · 2026Review
- Innovative Assistive Technologies for Tetraplegia: A Narrative Review of Systematic and Emerging Evidence.Healthcare (Basel, Switzerland) · 2026Review
- Bridging Technology and Healthcare: A Bibliometric Review of Assistive Technologies in Hospital Environments.Healthcare (Basel, Switzerland) · 2025Review
- Measuring the Impact of Large Language Models on Academic Success and Quality of Life Among Students with Visual Disability: An Assistive Technology Perspective.Bioengineering (Basel, Switzerland) · 2025Article
- Advancements and Impacts of Assistive Technologies, Robotics, and Automated Machines in Healthcare: Insights from an Editorial Initiative of Exploration.Healthcare (Basel, Switzerland) · 2025Article
- Global practices in AT provision: considerations for a national assistive technology policy for health in India.Frontiers in rehabilitation sciences · 2025Review
- A decade of review in global regulation and research of artificial intelligence medical devices (2015-2025).Frontiers in medicine · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of artificial intelligence (AI) into assistive technologies is an emerging field with transformative potential, aimed at enhancing autonomy and quality of life for individuals with disabilities and aging populations. This overview of reviews, utilizing a standardized checklist and quality control procedures, examines recent advancements and future implications in this domain. The search for articles for the review was finalized by 15 December 2024. Nineteen review studies were selected through a systematic process identifying prevailing themes, opportunities, challenges, and recommendations regarding the integration of AI in assistive technologies. First, AI is increasingly central to improving mobility, healthcare diagnostics, and cognitive support, enabling personalized and adaptive solutions for users. The integration of AI into traditional assistive technologies, such as smart wheelchairs and exoskeletons, enhances their performance, creating more intuitive and responsive devices. Additionally, AI is improving the inclusion of children with autism spectrum disorders, promoting social interaction and cognitive development through innovative devices. The review also identifies significant opportunities and challenges. AI-powered assistive technologies offer enormous potential to increase independence, reduce reliance on external support, and improve communication for individuals with cognitive disorders. However, challenges such as personalization, digital literacy among the elderly, and privacy concerns in healthcare contexts need to be addressed. Notably, AI itself is expanding the concept of assistive technology, shifting from traditional tools to intelligent systems capable of learning and adapting to individual needs. This evolution represents a fundamental change in assistive technology, emphasizing dynamic, adaptive systems over static solutions. Finally, the study emphasizes the growing economic investment in this sector, forecasting significant market growth, with AI-driven assistive devices poised to transform the landscape. Despite challenges such as high development costs and regulatory hurdles, opportunities for innovation and affordability remain. This review underscores the importance of addressing challenges related to standardization, accessibility, and ethical considerations to ensure the successful integration of AI into assistive technologies, fostering greater inclusivity and improved quality of life for users globally.
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.