Kazuki Fukae

Papers

Total Citations

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About

Kazuki Fukae is a researcher at the forefront of applying digital twin technology to healthcare, with a primary focus on dementia care. His most cited work, "Dementia Sign Detection System Using Digital Twin" (2021), addresses a critical gap in early diagnosis: the need to evaluate “life function disorder” through behavioral changes, rather than relying solely on interviews for “cognitive function disorder.” By leveraging digital twins to model and analyze daily living patterns, Fukae’s approach offers a more accurate, proactive method for detecting early signs of dementia. Though his citation count is currently modest, his work represents a novel intersection of IoT, simulation, and geriatric health, positioning him as an emerging voice in smart healthcare systems. His research holds significant promise for transforming how we monitor and support aging populations, making him a researcher to watch in the evolving field of digital health and assistive technology.