Latest AI and machine learning research in neurosurgery for healthcare professionals.
This study aims to explore the lymphangiogenesis (LG)-related diagnostic markers of abdominal aortic...
OBJECTIVES: To evaluate the performance of the BERT (bidirectional encoder representations from tran...
Artificial intelligence (AI) and machine learning (ML) are emerging tools in the management of abdom...
BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fus...
INTRODUCTION: Thoracic endovascular aortic repair (TEVAR) is the predominant treatment for thoracic ...
Abdominal aortic aneurysm (AAA) is a progressive and life-threatening vascular disorder characterize...
OBJECTIVES: Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being applied in...
Intraoperative tumor imaging is critical to achieving maximal safe resection during neurosurgery, es...
BACKGROUND AND OBJECTIVES: Generating computed tomography (CT) angiography (CTA) 3-dimensional (3D) ...
BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarach...
Artificial intelligence (AI) is reshaping neurosurgery, offering unprecedented opportunities to enha...
Artificial intelligence (AI) is rapidly transforming health care, with significant implications for ...
BACKGROUND: Closure of a patent foramen ovale (PFO) is an effective strategy in the prevention of re...
Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...
Excess reactive oxygen species leading to oxidative stress has been identified as a significant fact...
OBJECTIVES: To describe the technical details of a new and innovative method for modifying endograft...
Small intracranial aneurysms (SIAs) (< 5 mm) are increasingly detected due to advanced imaging, but ...
Respiratory and cardiovascular diseases represent a significant global health burden, underscoring t...
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fl...
OBJECTIVE: This study evaluates the effectiveness of artificial intelligence (AI) models in generati...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...