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About

Alberto Pilotto is a distinguished geriatric researcher whose work sits at the intersection of aging, technology, and clinical medicine. His scholarship focuses on innovative technological solutions for older adults, with particular emphasis on fall prevention, balance assessment, and smart healthcare systems for the elderly population. Pilotto's most impactful contribution has been pioneering the integration of robotics and artificial intelligence into geriatric care. His landmark 2018 paper on technology in geriatrics (94 citations) established a foundational framework for understanding how digital innovation can enhance independence and quality of life among aging populations. Building on this, he developed and validated a robotic multifactorial fall-risk predictive model (57 citations), a breakthrough that enables early identification of at-risk older adults before potentially catastrophic falls occur. His research extends into quantifying age-related balance deterioration across the lifespan, robotic balance assessment tools, and applications in Parkinson's disease populations. More recently, he has explored smart post-hospitalization facilities combining domotics, robotics, and tele-monitoring, and robot-assisted exercise programs targeting sarcopenia. With nearly 240 total citations, Pilotto's work is reshaping how clinicians approach geriatric assessment and care, offering scalable technological solutions to one of healthcare's most pressing demographic challenges.