A5064315969- Spine and Intervertebral Disc Pathology
- Cervical and Thoracic Myelopathy
- Spinal Fractures and Fixation Techniques
- Glioma Diagnosis and Treatment
- Traumatic Brain Injury and Neurovascular Disturbances
- Medical Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Trauma and Emergency Care Studies
- Artificial Intelligence in Healthcare and Education
- Meningioma and schwannoma management
- Acute Ischemic Stroke Management
- Spinal Cord Injury Research
- Epilepsy research and treatment
- Venous Thromboembolism Diagnosis and Management
- Botulinum Toxin and Related Neurological Disorders
- Cerebrospinal fluid and hydrocephalus
- Pelvic and Acetabular Injuries
- Trauma Management and Diagnosis
- Spinal Dysraphism and Malformations
- Traumatic Brain Injury Research
- Head and Neck Surgical Oncology
- Spinal Hematomas and Complications
- Topic Modeling
- Clinical practice guidelines implementation
- Sarcoma Diagnosis and Treatment
Icahn School of Medicine at Mount Sinai
2016-2025
Mount Sinai Health System
2016-2025
Mount Sinai Hospital
2021-2025
Mount Sinai Hospital
2016-2025
Johns Hopkins Medicine
2024
Johns Hopkins University
2024
Stanford University
2024
SUNY Downstate Health Sciences University
2024
State University of New York
2024
American College of Surgeons
2022-2024
Artificial intelligence (AI) and generative language models (GLMs) present significant opportunities for enhancing medical education, including the provision of realistic simulations, digital patients, personalized feedback, evaluation methods, elimination barriers. These advanced technologies can facilitate immersive learning environments enhance students' educational outcomes. However, ensuring content quality, addressing biases, managing ethical legal concerns obstacles. To mitigate these...
Large Language Models (LLMs) are transforming patient education in medication management by providing accessible information to support healthcare decision-making. Building on our recent scoping review of LLMs education, this perspective examines their specific role guidance. These artificial intelligence (AI)-driven tools can generate comprehensive responses about drug interactions, side effects, and emergency care protocols, potentially enhancing autonomy decisions. However, significant...
Background: Preoperative prediction of short-term postoperative outcomes in spinal tumor patients can lead to more precise patient care plans that reduce the likelihood negative outcomes. With this study, we aimed develop machine learning algorithms for predicting and implement these models an open-source web application. Methods: Patients who underwent surgical resection tumors were identified using American College Surgeons, National Surgical Quality Improvement Program. Three predicted:...
Abstract Epilepsy is a common neurological disorder affecting over 70 million people worldwide. Although many patients achieve seizure control with anti‐epileptic drugs (AEDs), 30%–40% develop drug‐resistant epilepsy (DRE), where seizures persist despite adequate trials of AEDs. DRE associated reduced quality life, increased mortality and morbidity, greater socioeconomic challenges. The continued intractability has fueled exponential growth in research that aims to understand treat this...
Background Degenerative cervical myelopathy (DCM) is a common and disabling condition. Early effective treatment limited by late diagnosis. Conventional descriptions of DCM focus on motor sensory limb disability, however, recent work suggests the true impact much broader. This study aimed to characterise symptomatic presentation from perspective people with determine whether any reported symptoms, or groups were associated early Methods An internet survey was developed, using an established...
Incidental colloid cysts are frequently managed with surveillance imaging rather than surgical excision. This approach is born out of their purported indolent growth pattern and the morbidity associated microsurgical removal. The advent endoscopic cyst removal may offer renewed assessment these patients who carry a risk acute neurological deterioration. An evidence-based recommendation should weigh risks operative treatment. Thus far, there has been no concentrated in incidental cysts. major...
WHO grade II and III gliomas demonstrate diverse biological behaviors resulting in variable survival outcomes. In the context of glioma prognosis, machine learning (ML) approaches could facilitate navigation through maze factors influencing survival, aiding clinicians generating more precise personalized predictions. Here we report utilization ML models predicting at 12, 24, 36, 60 months following diagnosis. From National Cancer Database, analyze 10,001 11,456 cranial gliomas. Using area...
Spinal neurotrauma (sNT), including spinal cord injury (SCI), poses a significant public health challenge with variety of downstream sequelae. During the COVID-19 pandemic, Elmhurst, Queens in New York City (NYC) was an initial hotspot dubbed "epicenter epicenter" crisis, necessitating large-scale adjustments healthcare resource allocation. This study aimed to analyze impact pandemic on sNT incidence, severity, and outcomes this geographical area light these stressors. admissions NYC Health...
Bilateral facet dislocation results from flexion and distraction forces that tear the posterior ligamentous complex, disrupt joint capsules, can cause fracture of superior articular processes joints, leading to vertebral subluxation potentially serious spinal cord injury. When clinically feasible, typical management is rapid closed reduction followed by fusion, typically means anterior, posterior, or circumferential fixation. However, risk construct failure in event anterior-only fixation...
INTRODUCTION: Accurate preoperative prediction of histopathological and molecular profiles diffuse gliomas using MRI images could be essential for personalized treatment planning. METHODS: The TCGA-GBM TCGA-LGG datasets were used analysis. Radiomic features extracted PyRadiomics from T1, T1 with contrast, T2, FLAIR sequences. LASSO regression was employed feature selection. TabPFN algorithm model development, a 10-repeat stratified 5-fold-cross-validation approach evaluation. A framework...
INTRODUCTION: Lumbar disc degeneration is heritable, with twin studies estimating a heritability of up to 74%. Despite family history explaining substantial proportion variance in incidence, severity, and progression, little known about the genetic variants underlying risk how they functionally contribute disease. METHODS: We applied transcriptomic imputation methods identify tissue-specific drivers lumbar from static genotypes. skeletal muscle spinal cord-specific models (from GTEx...
INTRODUCTION: Cervical myelopathy is a degenerative spinal condition that can lead to severe neurological dysfunction. Despite its pathophysiology, family history has shown be largely important factor in incidence and progression, suggesting inherent genetic predisposition may play role pathophysiology. METHODS: In large, diverse, urban biobank of 32,031 individuals, with 558 individuals cervical myopathy, we applied transcriptomic imputation identify genetically regulated gene expression...