Latest AI and machine learning research in neurology for healthcare professionals.
CONTEXT: Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health condition. While several studies have explored ChatGPT's performance in spinal cord injury (SCI)-related queries, no direct comparison between GPT-4o and DeepSeek-V3 has been conducted in this context. METHODS: The five most-searched SCI-related topics c...
OBJECTIVE: Interpretability and reproducibility remain major challenges in applying deep neural network (DNN) to neuroimaging-based diagnosis. This study proposes a radiomics-guided dual-channel deep neural network (RDDNN) to improve feature transparency and enhance clinical understanding in the classification of Parkinsonian syndromes. METHODS: In this bi-centric study, we analysed two independen...
BACKGROUND: Alzheimer's disease (AD) is considered to be one of the neurodegenerative diseases with possible cognitive deficits related to dementia in...
With rapid developments in artificial intelligence (AI), the discussion about and applications of generative AI have increased substantially. Generati...
Multi-modal neuroimaging techniques are widely employed for the accurate diagnosis of Alzheimer's Disease (AD). Existing fusion methods typically focu...
Increases in impulsivity and negative affect (e.g., neuroticism) are common during adolescence and are both associated with risk for alcohol-use initi...
BACKGROUND: Amyotrophic Lateral Sclerosis (ALS) is a severe neurodegenerative disease, and there is currently an urgent need to identify valuable biom...
The early and precise diagnosis of stroke plays an important role in its treatment planning. Computed Tomography (CT) is utilised as a first diagnosti...
BACKGROUND AND OBJECTIVES: Chronic pain affects more patients than cancer, diabetes, and heart disease combined, resulting in high morbidity and signi...
BACKGROUND: Papilledema and other optic neuropathies are critical findings in neuro-ophthalmology that require timely and accurate diagnosis. This stu...
BACKGROUND: Multimodal artificial intelligence (AI) models have recently expanded into video analysis. In ophthalmology, one exploratory application i...
BACKGROUND: Gait impairments in Parkinson's disease (PD) arise from disruptions in automatic motor control, requiring compensatory engagement of corti...
BACKGROUND CONTEXT: Spinal low-grade gliomas (SLGGs) are rare, slow-growing central nervous system tumors affecting both pediatric and adult populatio...
IntroductionCardiac surgery with cardiopulmonary bypass (CPB) often induces systemic inflammatory reaction syndrome (SIRS), affecting postoperative ou...
Volumetric estimation of affected brain volumes using computed tomography perfusion (CTP) is crucial in the management of acute ischemic stroke (AIS) ...
Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, an...
Stroke poses a significant health challenge, with ischemic and hemorrhagic subtypes requiring timely and accurate diagnosis for effective management. ...
This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transformative era in biomedical research, driven by the...
BACKGROUND: Flexible wearable medical devices drive healthcare transformation via non-invasive, real-time physiological monitoring and personalized ma...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the ageing population, necessitating early and a...