Anna Falivene
Papers
1
Total Citations
10
H-Index
1
About
Dr. Anna Falivene is a leading 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 clinical outcomes. Dr. Falivene’s major contribution lies in developing AI-driven predictive models that quantitatively assess and anticipate patient engagement levels in real-time, enabling adaptive therapy protocols that maintain motivation and maximize neuroplasticity. This pioneering approach bridges computational neuroscience and clinical practice, offering a personalized pathway to improve rehabilitation efficacy for individuals with neuromotor disorders. Her research holds significant promise for transforming standard RAGR protocols into dynamic, patient-responsive interventions. With her work gaining traction in the rehabilitation engineering community, Dr. Falivene is establishing herself as a key innovator in leveraging artificial intelligence to humanize and optimize recovery processes for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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