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Neurosurgery

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

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Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis.

PURPOSE: Awake craniotomy presents a unique opportunity to map and preserve critical brain functions...

Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi-omics data and machine learning analysis.

Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation o...

Automatic Segmentation of Abdominal Aortic Aneurysms From Time-Resolved 3-D Ultrasound Images Using Deep Learning.

Abdominal aortic aneurysms (AAAs) are rupture-prone dilatations of the aorta. In current clinical pr...

Comprehensive Management of Intracranial Aneurysms Using Artificial Intelligence: An Overview.

Intracranial aneurysms (IAs), an asymptomatic vascular lesion, are becoming increasingly common as i...

Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic...

Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review.

PURPOSE: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm ruptur...

Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis.

Currently, the growing interest in radiomics within the clinical practice has prompted some research...

Machine learning models for predicting dysphonia following anterior cervical discectomy and fusion: a Swedish Registry Study.

BACKGROUND: Dysphonia is one of the more common complications following anterior cervical discectomy...

Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports.

BACKGROUND: Incidental findings of aortic aneurysms (AAs) often go unreported, and established patie...

Non-invasive brain-machine interface control with artificial intelligence copilots.

Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis move and c...

Controversies in Artificial Intelligence in Neurosurgery.

Artificial intelligence (AI) has evolved from science fiction to a technology infiltrating everyday ...

Fast, variable stiffness-induced braided coiled artificial muscles.

Biomimetic actuation technologies with high muscle strokes, cycle rates, and work capacities are nec...

Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.

Connectomics is a neuroscience paradigm focused on noninvasively mapping highly intricate and organi...

Prediction of primary admission total charges following cervical disc arthroplasty utilizing machine learning.

BACKGROUND CONTEXT: Cervical disc arthroplasty (CDA) has become an increasingly popular alternative ...

Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.

Pneumonia is a common postoperative complication in patients with aneurysmal subarachnoid hemorrhage...

AI and neurosurgery: a new era of enhanced outcomes.

Artificial Intelligence (AI) is revolutionizing neurosurgery by enhancing diagnostic accuracy, surgi...

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