Silvia Bellazzecca

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About

Silvia Bellazzecca is a pioneering researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on enhancing patient engagement during robotic-assisted therapy. Her most cited work, "Artificial intelligence tools for engagement prediction in neuromotor disorder patients during rehabilitation" (2024, 10 citations), addresses a critical challenge in Robot-Assisted Gait Rehabilitation (RAGR): the risk of patient boredom from repetitive tasks, which can undermine neuroplasticity and clinical outcomes. Bellazzecca’s major contribution lies in developing AI-driven methods to quantitatively predict and monitor engagement levels in real-time, enabling personalized adjustments to therapy that maintain patient motivation. This work has the potential to transform rehabilitation protocols, making them more adaptive and effective for individuals with neuromotor disorders. Beyond this, her research spans machine learning applications in healthcare, emphasizing human-centered design. With a growing citation impact, Bellazzecca is recognized for bridging engineering and clinical practice, offering practical tools to improve patient experience and recovery. Her achievements highlight a commitment to translating computational innovations into tangible benefits for vulnerable populations, positioning her as a rising leader in AI-assisted rehabilitation.