Predictive Analytics

Brain-Computer Interfaces (BCIs) have been proposed as assistive technologies for Locked-In Syndrome (LIS) patients that can facilitate communication based on decoding of neural signals. Traditional BCI systems based on recurrent neural network (RNN) models exhibit certain constraints in terms of decoding accuracy, communication speed, and response latency. The current study aims to assess the effectiveness of transformer-based frameworks in optimizing the efficiency of both invasive and non-invasive BCI systems as compared to classical RNN models. A computational-clinical study design was used which involved participation of 48 LIS or severely paralysed participants. Subjects were grouped in accordance with their involvement in invasive or non-invasive BCI groups, and assessments were conducted during a period of eight weeks of intervention. Neural activity data processing was done with the help of two different approaches, including transformer-based model application and RNN application, assessing communication speed, decoding accuracy, latency, and error rates of both systems. Results suggest that transformer-based neural decoding frameworks proved to be superior to RNNs in terms of all evaluated criteria. Invasive transformer-based BCI demonstrated the best results concerning communication speed, decoding accuracy, lowest latency, and lowest error rates. Non-invasive transformer BCIs also yielded better results than RNN-based BCIs.

A 2-year-old boy presented to the paediatric emergency department with a 5-day history of persistent high fever reaching 40°C, marked irritability, reduced oral intake, and non-productive cough. The child's mother reported onset of symptoms following a minor upper respiratory infection two weeks earlier, initially managed at home with oral paracetamol and later with oral antibiotics (amoxicillin) prescribed by a primary care physician, which failed to resolve the fever or other emerging symptoms. On examination, the child exhibited bilateral non-exudative conjunctival injection, strawberry tongue with red cracked lips, anterior cervical lymphadenopathy (right sided, 2 cm node), polymorphous erythematous rash across the trunk and extremities sparing the diaper area, and indurative oedema of the hands and feet. These findings fulfilled the diagnostic criteria for complete Kawasaki disease (KD), prompting immediate hospital admission for further evaluation and treatment.