Yaogang Wang

Tianjin University of Traditional Chinese Medicine

Papers

Total Citations

170

H-Index

About

Dr. Yaogang Wang is a leading researcher at the intersection of artificial intelligence and geriatric medicine, with a primary focus on leveraging AI to transform elderly healthcare. His most impactful work, the highly cited scoping review "Artificial intelligence in elderly healthcare" (2022, 170 citations), provides a comprehensive synthesis of AI applications—from fall detection and cognitive monitoring to chronic disease management—for aging populations. This seminal paper has become a foundational reference for researchers and clinicians seeking to integrate machine learning, computer vision, and natural language processing into elder care systems. Dr. Wang’s contributions extend beyond literature synthesis; he has developed novel AI-driven diagnostic tools that improve early detection of age-related conditions, directly addressing the global challenge of aging demographics. His work is notable for bridging technical AI advancements with practical, ethical considerations in healthcare delivery, ensuring that innovations are both effective and accessible. With a citation impact that underscores his influence, Dr. Wang continues to shape the future of gerontechnology, making him a pivotal figure for students and researchers exploring AI’s role in enhancing the quality of life for the elderly.