A5015854512- Intracranial Aneurysms: Treatment and Complications
- Vascular Malformations Diagnosis and Treatment
- Venous Thromboembolism Diagnosis and Management
- Acute Ischemic Stroke Management
- Vascular Procedures and Complications
- Cardiac, Anesthesia and Surgical Outcomes
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Stroke Rehabilitation and Recovery
- Central Venous Catheters and Hemodialysis
- Health and Medical Research Impacts
- Artificial Intelligence in Healthcare and Education
- Cerebral Venous Sinus Thrombosis
- Machine Learning in Healthcare
- Spine and Intervertebral Disc Pathology
- Neurosurgical Procedures and Complications
- Cerebrovascular and Carotid Artery Diseases
- Intracerebral and Subarachnoid Hemorrhage Research
- Aortic aneurysm repair treatments
- Heparin-Induced Thrombocytopenia and Thrombosis
- Trauma and Emergency Care Studies
- Long-Term Effects of COVID-19
- COVID-19 diagnosis using AI
- Spinal Dysraphism and Malformations
- Moyamoya disease diagnosis and treatment
Stanford Medicine
2024-2025
Stanford University
2024-2025
Lebanese American University
2022-2024
WinnMed
2023-2024
Neurological Surgery
2023-2024
Mayo Clinic
2023-2024
Thomas Jefferson University Hospital
2023-2024
Mayo Clinic in Florida
2023
Mayo Clinic in Arizona
2023
American University of Beirut
2023
Omics studies produce a large number of measurements, enabling the development, validation and interpretation systems-level biological models. Large cohorts are required to power these complex models; yet, cohort size remains limited due clinical budgetary constraints. We introduce omics multimodal analysis enhanced with transfer learning (COMET), machine framework that incorporates large, observational electronic health record databases improve small datasets from studies. By pretraining on...
BACKGROUND AND OBJECTIVES: Epilepsy is considered one of the most prevalent and severe chronic neurological disorders worldwide. Our study aims to analyze national trends in different treatment modalities for individuals with drug-resistant epilepsy investigate outcomes associated these procedural United States. METHODS: Using National Inpatient Sample database from 2010 2020, patients focal who underwent laser interstitial thermal therapy (LITT), open surgical resection, vagus nerve...
Methods to ensure factual accuracy of text generated by large language models (LLM) in clinical medicine are lacking. VeriFact is an artificial intelligence system that combines retrieval-augmented generation and LLM-as-a-Judge verify whether LLM-generated factually supported a patient's medical history based on their electronic health record (EHR). To evaluate this system, we introduce VeriFact-BHC, new dataset decomposes Brief Hospital Course narratives from discharge summaries into set...
While medication intake is common among pregnant women, safety remains underexplored, leading to unclear guidance for patients and healthcare professionals. PregMedNet addresses this gap by providing a multifaceted maternal framework based on systematic analysis of 1.19 million mother-baby dyads from U.S. claims databases. A novel confounding adjustment pipeline was applied systematically control confounders multiple medication-disease pairs, robustly identifying both known effects. Notably,...
One in ten neonates are admitted to neonatal intensive care units, highlighting the need for precise interventions. However, application of artificial intelligence (AI) guiding remains underexplored. Total parenteral nutrition (TPN) is a life-saving treatment preterm neonates; however, implementation therapy its current form subjective, error-prone and resource-consuming. Here, we developed TPN2.0—a data-driven approach that optimizes standardizes TPN using information collected routinely...
Abstract Translational biology posits a strong bi-directional link between clinical phenotypes and patient’s biological profile. By leveraging this link, we can efficiently deconvolute pre-existing information into profiles. However, traditional computational tools are limited in their ability to resolve because of the relatively small sizes paired clinical–biological datasets for training high dimensionality/sparsity tabular data. Here, use state-of-the-art foundation models (FMs)...
OBJECTIVE Malignant melanotic nerve sheath tumors are rare characterized by neoplastic melanin-producing Schwann cells. In this study, the authors report their institution’s experience in treating spinal and peripheral malignant compare results with literature. METHODS Data were collected from 8 patients who underwent surgical treatment for between 1996 2023 at Mayo Clinic 63 Time-to-event analyses performed combined group of 71 cases to evaluate risk recurrence, metastasis, death based on...
BACKGROUND AND OBJECTIVES: The 30-day readmission rate has emerged as a metric of quality care and is associated with increased health expenditure. We aim to identify the causes after mechanical thrombectomy provide risk factors highlight high-risk patients who may require closer care. METHODS: This retrospective study from prospectively maintained database 703 presenting for between 2017 2023. All presented stroke underwent were included in this study. Patients deceased on discharge...
OBJECTIVE Over the past several decades, number of women applying to medical school has increased significantly. However, parallel recruitment and retention in field neurosurgery continues lag. The aim this study was identify ratio trend female residents total during 7 years across all US residency programs. METHODS authors conducted a cross-sectional demographic investigating neurosurgical programs from 2016 2022. Using Fellowship Residency Electronic Interactive Database, were collected....
OBJECTIVE With recent advancements in minimally invasive techniques, endovascular embolization has gained popularity as a first-line treatment option for spinal dural arteriovenous fistulas (sDAVFs). The authors present their institution’s case series of sDAVFs treated endovascularly and surgically, they performed systemic review to assess the outcomes both modalities treatment. METHODS conducted retrospective observational study 24 consecutive patients with between 2013 2023. primary...
OBJECTIVE The paucity of literature comparing Woven EndoBridge (WEB) embolization to microsurgical clipping for anterior circulation wide-neck bifurcation aneurysms (WNBAs) underscores the need further investigation into optimal management this patient subpopulation. objective study was compare rate endovascular and treatment WNBAs before after introduction WEB device. In addition, authors performed a comparison demographics, aneurysm characteristics, outcomes in patients METHODS This...
OBJECTIVE High-grade gliomas (HGGs) are among the rarest yet most aggressive tumor types in neurosurgical practice. In current literature, few studies have assessed drivers of early outcomes following resection these tumors and investigated their association with quality care. The authors aimed to identify clinical predictors for 30-day readmission reoperation HGG surgery using American College Surgeons (ACS) National Surgical Quality Improvement Project (NSQIP) database sought create...
BACKGROUND AND OBJECTIVES: Intracerebral hemorrhage (ICH) is one of the most disabling cerebrovascular events. Several studies have discussed oral anticoagulant (OAC)–related ICH; however, optimal timing resuming OAC in patients with ICH still a dilemma. In this literature review/meta-analysis, we will summarize, discuss, and provide results pertaining to resumption ICH. METHODS: Using PubMed, Ovid Medline, Web science, systemic review was performed accordance Preferred Reporting Items for...