Publications by authors named "L Pignolo"
Purpose: Cognitive dysfunctions are still very common in the chronic phase of stroke when patients are discharged from neurorehabilitation centers. Even individuals who appear to have made a full clinical recovery may exhibit new deficiencies at home. Here, we present evidence of a novel kind of therapy at home aimed at contrasting the heterogenic evolution of stroke patients using a multidomain cognitive approach.
View Article and Find Full Text PDFBackground: According to scientific literature, some 99% of patients affected by Alzheimer's disease (AD) suffer from behavioral and psychological symptoms of dementia (BPSD), also known as neuropsychiatric symptoms (NPSs). In particular, agitation is one of the most difficult disorders to treat. States of agitation represent a very serious problem as they make these subjects dangerous for themselves and others and worsen as the disease advances.
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- Approximately 57.4 million people worldwide are affected by dementia, with behavioral and psychological symptoms (BPSD), particularly agitation, being prevalent and often challenging to manage.
- The BRAINAID trial tested a nanotechnology device, NanoBEO, on 29 elderly patients (65+) with severe dementia to evaluate its effectiveness in reducing agitation and pain, utilizing a randomized and placebo-controlled design.
- Results indicated that NanoBEO significantly reduced agitation levels and frequency by 28% after 4 weeks, and showed notable pain relief (45.46% improvement) after just 1 week, without requiring additional medications.
Article Synopsis
- Generative AI tools like ChatGPT have shown strong performance in medical fields, particularly in diagnosing conditions based on narrative clinical descriptions, especially in oncology and COVID-19 symptoms.
- This review explores the application of ChatGPT in neurorehabilitation, discussing its design, potential uses in medicine, and evaluating its effectiveness in higher-order clinical reasoning through two case scenarios.
- The findings suggest that generative AI can significantly enhance neurorehabilitation practices, helping doctors create more effective diagnostics and personalized treatment plans for patients.
Individuals with acquired brain injuries (ABIs) may experience various complications related to poor coughing or impaired cough reflex (including risk of aspiration pneumonia or respiratory infections). For this reason, cough assessment is an important component in the clinical evaluation since patients with ABI are not able to cough voluntarily due to severe motor deficits. When voluntarily coughing is not possible, it is essential for clinical practices to find a quick and minimally invasive way to induce a cough reflex.
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