Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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Interactive Multi-Stage Robotic Positioner for Intra-Operative MRI-Guided Stereotactic Neurosurgery.

Magnetic resonance imaging (MRI) demonstrates clear advantages over other imaging modalities in neur...

A collective neurodynamic penalty approach to nonconvex distributed constrained optimization.

A nonconvex distributed optimization problem involving nonconvex objective functions and inequality ...

A deep learning model for Alzheimer's disease diagnosis based on patient clinical records.

BACKGROUND: Dementia, with Alzheimer's disease (AD) being the most common type of this neurodegenera...

Generalizable synthetic MRI with physics-informed convolutional networks.

BACKGROUND: Magnetic resonance imaging (MRI) provides state-of-the-art image quality for neuroimagin...

A Woman with Bilateral Pheochromocytoma and Tuberous Sclerosis Complex.

BACKGROUND/OBJECTIVE: Pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine tumors. Here...

Ultrasound-guided sciatic nerve block in Wistar rat cadavers: Relevant anatomy and injection distribution.

OBJECTIVE: To investigate the feasibility of an ultrasound-guided sciatic nerve block by describing ...

Selective peripheral nerve recording using simulated human median nerve activity and convolutional neural networks.

BACKGROUND: It is difficult to create intuitive methods of controlling prosthetic limbs, often resul...

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist.

PURPOSE OF REVIEW: Machine Learning (ML) and Artificial Intelligence (AI) are data-driven techniques...

LSTM-MSA: A Novel Deep Learning Model With Dual-Stage Attention Mechanisms Forearm EMG-Based Hand Gesture Recognition.

This paper introduces the Long Short-Term Memory with Dual-Stage Attention (LSTM-MSA) model, an appr...

Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks.

Depression severity can be classified into distinct phases based on the Beck depression inventory (B...

Advancements in Robotic-Assisted Spine Surgery.

Applications and workflows around spinal robotics have evolved since these systems were first introd...

Grounding neuroscience in behavioral changes using artificial neural networks.

Connecting neural activity to function is a common aim in neuroscience. How to define and conceptual...

ChatGPT's responses to questions related to epilepsy.

This is a correspondence on published article on "ChatGPT's responses to questions related to epilep...

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation.

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and...

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.

Ensuring safety and achieving human-level driving performance remain challenges for autonomous vehic...

Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion.

Radiation therapy is the primary treatment for recurrent nasopharyngeal carcinoma. However, it may i...

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