Frontiers in Neurology (Jan 2024)

NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation

  • Ana Lúcia Faria,
  • Ana Lúcia Faria,
  • Ana Lúcia Faria,
  • Yuri Almeida,
  • Yuri Almeida,
  • Diogo Branco,
  • Diogo Branco,
  • Diogo Branco,
  • Joana Câmara,
  • Joana Câmara,
  • Joana Câmara,
  • Joana Câmara,
  • Mónica Cameirão,
  • Mónica Cameirão,
  • Mónica Cameirão,
  • Luis Ferreira,
  • Luis Ferreira,
  • André Moreira,
  • André Moreira,
  • Teresa Paulino,
  • Teresa Paulino,
  • Teresa Paulino,
  • Pedro Rodrigues,
  • Pedro Rodrigues,
  • Mónica Spinola,
  • Manuela Vilar,
  • Manuela Vilar,
  • Sergi Bermúdez i Badia,
  • Sergi Bermúdez i Badia,
  • Sergi Bermúdez i Badia,
  • Mario Simões,
  • Mario Simões,
  • Eduardo Fermé,
  • Eduardo Fermé

DOI
https://doi.org/10.3389/fneur.2023.1258323
Journal volume & issue
Vol. 14

Abstract

Read online

Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-related cognitive decline, hampering individuals' daily functioning and independence, with significant societal and economic implications. While neurorehabilitation represents a promising avenue for addressing these deficits, traditional rehabilitation approaches face notable limitations. First, they lack adaptability, offering one-size-fits-all solutions that may not effectively meet each patient's unique needs. Furthermore, the resource-intensive nature of these interventions, often confined to clinical settings, poses barriers to widespread, cost-effective, and sustained implementation, resulting in suboptimal outcomes in terms of intervention adaptability, intensity, and duration. In response to these challenges, this paper introduces NeuroAIreh@b, an innovative cognitive profiling and training methodology that uses an AI-driven framework to optimize neurorehabilitation prescription. NeuroAIreh@b effectively bridges the gap between neuropsychological assessment and computational modeling, thereby affording highly personalized and adaptive neurorehabilitation sessions. This approach also leverages virtual reality-based simulations of daily living activities to enhance ecological validity and efficacy. The feasibility of NeuroAIreh@b has already been demonstrated through a clinical study with stroke patients employing a tablet-based intervention. The NeuroAIreh@b methodology holds the potential for efficacy studies in large randomized controlled trials in the future.

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