Enterprise AI Analysis
Integrating AI and Assistive Technologies in Healthcare
The integration of Artificial Intelligence (AI) into assistive technologies (ATs) is rapidly transforming healthcare, mobility, and the quality of life for individuals with disabilities and aging populations. This review synthesizes current advancements, opportunities, and challenges in this dynamic field.
Executive Impact & Key Trends
AI's integration into assistive technologies is driving unprecedented growth and innovation, shifting from theoretical concepts to real-world applications with significant market expansion.
0
Studies in Last 10 Years (AI+AT)
0
Studies in Last 5 Years (AI+AT)
0
Review Studies in Last 5 Years (AI+AT)
0
Studies in Last 10 Years (AI-only AT)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Key Contributions: AI in Assistive Tech for Disabilities
- Okolo et al. [23]: AI-based navigation aids support the visually impaired in mobility.
- Iannone and Giansanti [27]: AI supports communication and social engagement for people with autism.
- Pancholi et al. [28]: AI enables mobility and independence for individuals with physical disabilities (exoskeletons, bionic limbs).
- de Freitas et al. [31]: AI-driven IoT devices enhance assistive technology for visual impairments.
Key Contributions: AI in Cognitive Health & Aging
- Kokorelias et al. [21]: Smart AI devices like virtual assistants improve elderly care through personalized interactions.
- Lee et al. [34]: AI robots enhance cognitive function and social interaction for elderly people.
- Lee-Cheong et al. [35]: AI assists in diagnosing, monitoring, and managing dementia and MCI.
- Dada et al. [38]: AI-powered social robots help individuals with dementia improve communication and cognitive abilities.
- Vollmer et al. [39]: AI tools (robots, sensors) provide support to caregivers and improve healthcare for older adults with dementia.
Key Contributions: AI in Healthcare & Diagnostics
- Wei et al. [25]: AI aids in image processing and molecular analysis for accurate diagnosis of skin cancer.
- Xie et al. [26]: AI improves precision and efficiency in robot-assisted laparoscopic surgeries.
- Yanagawa et al. [29]: AI enhances lesion detection in thoracic imaging, improving diagnostic accuracy.
- Shinohara [32]: AI-controlled robots assist surgeons, enhancing precision and reducing physical strain.
- Naeem et al. [36]: Deep learning improves accuracy and early detection of brain tumors.
- Alabdulkareem et al. [37]: AI robots facilitate therapeutic interactions for children with autism.
Key Contributions: AI for Communication & Emotional Support
- Vistorte et al. [22]: AI-driven emotion detection improves learning outcomes by assessing emotional states in students.
- Singh and Krishnan [30]: AI improves EEG signal analysis for brain-computer interfaces and neurological diagnostics.
- Madahana et al. [33]: AI enhances communication for the hearing impaired through real-time speech-to-text systems.
- Eldawlatly [24]: AI generates synthetic brain data to enhance BCI system performance.
Study Structure Overview (Figure 1)
Bibliometric Trends (Figs 3-7; Sec 3.1)
→
Categorization in Themes (Table 1; Sec 3.2)
→
AI Application Categories & Key Contributions (Table 2; Sec 3.2)
→
Emerging Opportunities & Challenges (Table 3; Sec 3.3)
→
Emerging Direct Recommendations (Table 4; Sec 3.3)
→
Emerging Indirect Recommendations (Table 5; Sec 3.3)
Recommendations & Future Perspectives Flow (Figure 2)
Emerging Direct Recommendations (Table 4; Sec 3.3)
→
Emerging Indirect Recommendations (Table 5; Sec 3.3)
→
Emerging Directions in AI-Powered Assistive Technologies: Insights from Recent Studies (Sec 4.3)
→
Bridge Between Findings and Recent Studies
| Aspect | Opportunities | Challenges |
|---|---|---|
| Independence & Quality of Life |
|
|
| Diagnostic Accuracy |
|
|
| Accessibility & Affordability |
|
|
| Ethical & Regulatory |
|
|
| Communication & Social Engagement |
|
|
| Dementia & MCI Care |
|
|
Calculate Your Potential AI Impact
Estimate the efficiency gains and cost savings AI could bring to your organization. Adjust the parameters to see a personalized projection.
Projected Annual Impact
Estimated Annual Savings
Calculating...
Annual Hours Reclaimed
Calculating...
Your AI Implementation Roadmap
A strategic approach to integrating AI into assistive technologies for maximum impact and sustained value.
Phase 1: Discovery & Strategic Alignment
Identify core needs for AI-powered ATs, assess current infrastructure, define clear objectives, and develop ethical guidelines. Focus on pilot projects for specific disability groups and use cases.
Phase 2: Pilot & Proof of Concept
Implement small-scale AI AT solutions, gather user feedback for personalization, and validate technical efficacy. Address initial challenges like data privacy and user interface simplicity.
Phase 3: Integration & Scaling
Expand successful pilot programs, integrate AI solutions into existing healthcare workflows, and establish robust regulatory compliance. Foster interdisciplinary collaboration between AI developers and healthcare professionals.
Phase 4: Optimization & Future-Proofing
Continuously monitor performance, update AI models with diverse data, and adapt to evolving user needs and technological advancements. Ensure long-term accessibility and affordability for all users.
Ready to Transform with AI-Powered Assistive Tech?
Our experts can help you navigate the complexities of AI integration, from strategic planning to ethical deployment, ensuring your solutions empower individuals and enhance care.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat