A5068227120- Injury Epidemiology and Prevention
- Sports injuries and prevention
- Knee injuries and reconstruction techniques
- Osteoarthritis Treatment and Mechanisms
- Total Knee Arthroplasty Outcomes
- Traffic and Road Safety
- Shoulder Injury and Treatment
- Urban Transport and Accessibility
- Ultrasound Imaging and Elastography
- Orthopedic Surgery and Rehabilitation
- Radiomics and Machine Learning in Medical Imaging
- Lower Extremity Biomechanics and Pathologies
- Ultrasound and Hyperthermia Applications
- Advanced X-ray and CT Imaging
- Photoacoustic and Ultrasonic Imaging
- Bone and Joint Diseases
- Orthopedic Infections and Treatments
- Diversity and Career in Medicine
- Cardiac, Anesthesia and Surgical Outcomes
- Sexual function and dysfunction studies
- Agriculture and Farm Safety
- Burn Injury Management and Outcomes
- Artificial Intelligence in Healthcare and Education
- Pelvic floor disorders treatments
- Medical Imaging and Analysis
Orthopaedic Research
2024-2025
Collaborative Research Group
2024-2025
Icahn School of Medicine at Mount Sinai
2024-2025
University of California, San Francisco
2020-2024
Mount Sinai Hospital
2024
University of California System
2021-2022
Media Working Group
2021
University of California, Los Angeles
2018-2019
La Jolla Bioengineering Institute
2018
Electric scooters (e-scooters) are a novel, rapid, and convenient mode of transportation with increasing accessibility across the United States. 1 E-scooter use may decrease traffic congestion increase public transit use. 2 Expansion e-scooters in dense, high-traffic urban areas will affect rider injury unknown ways lead to new policies already implemented by some major cities. 3 With influx e-scooter availability areas, particularly past year, we sought investigate trends hospital admission.
Purpose To test the hypothesis that artificial intelligence (AI) techniques can aid in identifying and assessing lesion severity cartilage, bone marrow, meniscus, anterior cruciate ligament (ACL) knee, improving overall MRI interreader agreement. Materials Methods This retrospective study was conducted on 1435 knee studies (n = 294 patients; mean age, 43 years ± 15 [standard deviation]; 153 women) collected within three previous (from 2011 to 2014). All were acquired using...
To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for severity staging anterior cruciate ligament (ACL) injuries. In this retrospective study, 1243 knee MR images (1008 intact, 18 partially torn, 77 fully and 140 reconstructed ACLs) from 224 patients (mean age, 47 years ± 14 [standard deviation]; 54% women) were analyzed. The MRI examinations performed between 2011 2014. A modified scoring metric was used. Classification ACL injuries using deep learning involved...
PurposeTo analyze epidemiology, mechanisms, and diagnoses of upper extremity volleyball injuries in youth who present to United States emergency departments.MethodsData from the National Electronic Injury Surveillance System were analyzed for patients ≤18 years old January 1, 2012, December 31, 2022. Data collected body part, diagnosis, mechanism injury, disposition. Weighted national estimates calculated using hospitals’ corresponding statistical sample weights. Linear regressions used...
Viscoelasticity of soft tissue is often related to pathology, and therefore, has become an important diagnostic indicator in the clinical assessment suspect tissue. Surgeons, particularly within head neck subsites, typically use palpation techniques for intra-operative tumor detection. This detection method, however, highly subjective fails detect small or deep abnormalities. Vibroacoustography (VA) similar methods have previously been used distinguish with high-contrast, but a firm...
Osteoarthritis (OA) develops through heterogenous pathophysiologic pathways. As a result, no regulatory agency approved disease modifying OA drugs are available to date. Stratifying knees into MRI-based morphological phenotypes may provide insight predicting future incidence, leading improved inclusion criteria and efficacy of therapeutics. We trained convolutional neural networks classify bone, meniscus/cartilage, inflammatory, hypertrophy in knee MRIs from participants the Initiative (n =...
Cancer patients incur high care costs; however, there is a paucity of literature characterizing unmet financial obligations for with urologic cancers. Kidney cancer are particularly burdened by costs associated novel systemic treatments. This study aimed to ascertain the characteristics GoFundMe® crowdfunding campaigns kidney cancer, in order better understand needs this population.We performed cross-sectional, quantitative, and qualitative analysis all since 2010. Fundraising metrics such...
To describe and enumerate surgeries for patients who underwent reconstruction or amputation after severe distal tibia, ankle, mid to hindfoot injuries. Design: Secondary analysis of a multicenter prospective observational study. 31 U.S. level-I trauma centers 3 military treatment facilities. Participants aged 18 60 with Gustilo type-III pilon (OTA 43B 43C), IIIB C ankle fracture 44A, 44B, 44C), talar calcaneal 81B, 82B, 82C), open closed crush blast injuries the midfoot limb from 2012 2017....
Background: Pickleball is one of the fastest-growing sports in United States. It popular among seniors but has recently grown across all age groups. As pickleball gained interest, its corresponding injury burden also increased. Purpose/Hypothesis: The purpose this study was to identify pickleball-related trends and underlying mechanisms different groups presenting US emergency departments. hypothesized that (1) injuries would increase significantly between 2013 2022, (2) older have greatest...
Objectives: To examine the characteristics, trends, and attributes of fractures sustained by electric bicycle riders assess recent healthcare burden in terms hospital admissions. Methods: Design : Retrospective review. Setting: National sample 100 emergency departments (EDs) United States (US). Patient Selection Criteria: The Electronic Injury Surveillance System (NEISS) was queried for ED presentations with related to e-bicycles between January 1 st 2019 December 31 2023. clinical narrative...
Electric biking (E-bike) is a growing recreation and transportation mode often linked to high-impact injuries. This study aimed identify the age sex-specific distribution primary mechanisms of E-bike-related injuries in US. The National Electronic Injury Surveillance System (NEISS) was queried for present US Emergency Department (Eds) from 1 January 2013-31 December 2022. Each narrative reviewed exclude not sustained while directly operating an E-bike. Injuries that occurred riding regular...
Study Design. Retrospective Cohort Objective. To quantify the pathology of spine in patients with scoliosis through one-dimensional feature analysis. Summary Background Data. Biplanar radiograph (EOS) imaging is a low-dose technology offering high-resolution spinal curvature measurement, crucial for assessing severity and guiding treatment decisions. Machine learning (ML) algorithms, utilizing image features, can enable automated Cobb angle classification, improving accuracy efficiency...
Study Design: Systematic review. Objective: To evaluate the statistical robustness of TXA use in spine surgery as a potential contributor to controversies this field. Summary Background Data: Tranexamic acid (TXA) is an antifibrinolytic medication administered during spinal limit blood loss. Existing randomized controlled trials (RCTs) on efficacy contain varied results, particularly when reporting outcomes related transfusion rates and thromboembolic events. By calculating fragility index...
Background: While prevention protocols have been implemented, skiing-related musculoskeletal injuries and concussions continue to present emergency departments in the United States. Previous literature has suggested pediatric population may constitute up 40% of injuries. Purpose: To assess injury trends underlying mechanisms skiing patients seen at Study Design: Descriptive epidemiology study. Methods: The National Electronic Injury Surveillance System (NEISS) was queried for (age ≤18 years)...