Eftim Zdravevski
Papers
3
Total Citations
71
H-Index
3
About
Eftim Zdravevski is a leading researcher at the intersection of artificial intelligence, ambient assisted living (AAL), and healthcare technology. His work focuses on developing AI-driven systems that enhance the quality of life for individuals with special needs, particularly through intelligent monitoring and assistive technologies. Zdravevski’s major contributions include comprehensive reviews that map the landscape of AI models in AAL, identifying key domains, technologies, and ethical concerns—a scoping review that has garnered 57 citations. He has also advanced the use of wearable sensors and mobile devices for motor function assessment, as demonstrated by his systematic review on the Ten Meter Walk Test (10MWT), which explores how lower-limb movement tracking can improve diagnosis of neuromuscular and neurodegenerative conditions. Additionally, Zdravevski has contributed to computer vision and natural language processing, exploring deep learning architectures for dense image captioning—a technique with applications in assistive technologies and medical imaging. His work bridges cutting-edge AI with practical, human-centered applications, making a tangible impact on healthcare and accessibility. With his research cited across multiple domains, Zdravevski continues to shape the future of intelligent, supportive environments.
Research Focus
Key Achievements
Top Papers
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