AIMC Topic: Stroke
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Assessing the clinical reasoning of ChatGPT for mechanical thrombectomy in patients with stroke.
Journal of neurointerventional surgery
Feb 12, 2024
BACKGROUND: Artificial intelligence (AI) has become a promising tool in medicine. ChatGPT, a large language model AI Chatbot, shows promise in supporting clinical practice. We assess the potential of ChatGPT as a clinical reasoning tool for mechanica...
Combining Transcranial Direct Current Stimulation With Hand Robotic Rehabilitation in Chronic Stroke Patients: A Double-Blind Randomized Clinical Trial.
American journal of physical medicine & rehabilitation
Feb 5, 2024
OBJECTIVE: This study aimed to assess the impact of combining transcranial direct current stimulation with end-effector robot-assisted treatment on upper limb function, spasticity, and hand dexterity in chronic stroke patients.
Detection and Assessment of Point-to-Point Movements During Functional Activities Using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist.
IEEE journal of biomedical and health informatics
Feb 5, 2024
Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent, unobtrusive assessment of naturalistic motor performance could enable clinicians to better assess rehabilitation effectiveness and monitor patients' recover...
Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning.
Computers in biology and medicine
Feb 3, 2024
Gait abnormalities are frequent in children and can be caused by different pathologies, such as cerebral palsy, neuromuscular disease, toe walker syndrome, etc. Analysis of the "gait pattern" (i.e., the way the person walks) using 3D analysis provide...
Point-Of-Care low-field MRI in acute Stroke (POCS): protocol for a multicentric prospective open-label study evaluating diagnostic accuracy.
BMJ open
Jan 31, 2024
INTRODUCTION: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion therapies. Conventional high-field (HF) MRI yields the highest accuracy in discriminating early ischaemia from haemorrhages and mimics. Rapid access t...
Reminiscent music therapy combined with robot-assisted rehabilitation for elderly stroke patients: a pilot study.
Journal of neuroengineering and rehabilitation
Jan 30, 2024
BACKGROUND: Although some studies suggest that robot-assisted technology can significantly improve upper limb function in stroke patients compared to traditional rehabilitation training, it is still necessary to incorporate an auxiliary intervention ...
Challenges and Potential of Artificial Intelligence in Neuroradiology.
Clinical neuroradiology
Jan 29, 2024
PURPOSE: Artificial intelligence (AI) has emerged as a transformative force in medical research and is garnering increased attention in the public consciousness. This represents a critical time period in which medical researchers, healthcare provider...
Exploring new horizons: Emerging therapeutic strategies for pediatric stroke.
Experimental neurology
Jan 24, 2024
Pediatric stroke presents unique challenges, and optimizing treatment strategies is essential for improving outcomes in this vulnerable population. This review aims to provide an overview of new, innovative, and potential treatments for pediatric str...
A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.
Archives of physical medicine and rehabilitation
Jan 17, 2024
OBJECTIVE: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data from the acute and sub-acute phases after stroke in a machine-learning set-up.
Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.
Journal of neural engineering
Jan 17, 2024
Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been developed primarily for stroke rehabilitation, however, due to limited stroke data, current deep learning methods for cross-subject classification rely ...
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