Surgery

Neurosurgery

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

4,721 articles
Stay Ahead - Weekly Neurosurgery research updates
Subscribe
Browse Specialties
Showing 1-21 of 4,721 articles
Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...

ChatGPT-4 in Neurosurgery: Improving Patient Education Materials.

BACKGROUND AND OBJECTIVES: Adequate understanding of health information has been shown to be a stron...

Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records.

Patient identification for national registries often relies upon clinician recognition of cases or r...

Deep Learning-Driven Multimodal Fusion Model for Prediction of Middle Cerebral Artery Aneurysm Rupture Risk.

RATIONALE AND OBJECTIVES: The decision to treat unruptured intracranial aneurysms remains a clinical...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Screening and investigating the regulatory mechanisms of oxidative stress-related biomarkers in thoracic aortic aneurysms.

Excess reactive oxygen species leading to oxidative stress has been identified as a significant fact...

Automated Laser Modified EndoGraft (ALMEG).

OBJECTIVES: To describe the technical details of a new and innovative method for modifying endograft...

Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture.

Small intracranial aneurysms (SIAs) (< 5 mm) are increasingly detected due to advanced imaging, but ...

Deep learning framework for cardiorespiratory disease detection using smartphone IMU sensors.

Respiratory and cardiovascular diseases represent a significant global health burden, underscoring t...

Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum.

To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fl...

Systematic evaluation of AI-based text-to-image models for generating medical illustrations in neurosurgery: a multi-stage comparative study.

OBJECTIVE: This study evaluates the effectiveness of artificial intelligence (AI) models in generati...

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...

Single pulse electrical stimulation of the medial thalamic surface induces narrower high gamma band activities in the sensorimotor cortex.

The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. ...

Plasma proteomics profiles predict the risk of future aortic aneurysm and aortic dissection.

BACKGROUND: Aortic aneurysms and aortic dissections (AA/AD) are serious vascular conditions that oft...

Browse Specialties