A5101533593- Artificial Intelligence in Healthcare and Education
- Cardiac, Anesthesia and Surgical Outcomes
- Hip and Femur Fractures
- Spine and Intervertebral Disc Pathology
- Interpreting and Communication in Healthcare
- Trauma and Emergency Care Studies
- Acute Ischemic Stroke Management
- Complex Systems and Time Series Analysis
- Congenital Diaphragmatic Hernia Studies
- Patient-Provider Communication in Healthcare
- Clinical practice guidelines implementation
- Scoliosis diagnosis and treatment
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Cervical and Thoracic Myelopathy
- Spinal Fractures and Fixation Techniques
- Surgical Simulation and Training
- Musculoskeletal pain and rehabilitation
- Medical Imaging and Analysis
- Anatomy and Medical Technology
- Pelvic and Acetabular Injuries
- Heart Rate Variability and Autonomic Control
- Meta-analysis and systematic reviews
- Pleural and Pulmonary Diseases
- Health Literacy and Information Accessibility
Icahn School of Medicine at Mount Sinai
2023-2025
Johnson & Johnson (Sweden)
2024
Stryker (Switzerland)
2024
Johnson & Johnson (Israel)
2024
Universidad Pontificia Bolivariana
2023
Comparative analysis.
Large language models like chat generative pre-trained transformer (ChatGPT) have found success in various sectors, but their application the medical field remains limited. This study aimed to assess feasibility of using ChatGPT provide accurate information patients, specifically evaluating how well versions 3.5 and 4 aligned with 2012 North American Spine Society (NASS) guidelines for lumbar disk herniation radiculopathy.
Objective: Large language models, such as chat generative pre-trained transformer (ChatGPT), have great potential for streamlining medical processes and assisting physicians in clinical decision-making. This study aimed to assess the of ChatGPT’s 2 models (GPT-3.5 GPT-4.0) support decision-making by comparing its responses antibiotic prophylaxis spine surgery accepted guidelines.Methods: ChatGPT were prompted with questions from North American Spine Society (NASS) Evidence-based Clinical...
Kwon, Daniel Y. BS; Wang, Anya BA; Mejia, Mateo Restrepo Saturno, Michael P. Oleru, Olachi MD; Seyidova, Nargiz MD, MHQS; Taub, Peter J. MS Author Information
Background: Acute hip fractures are a public health problem affecting primarily older adults. Chat Generative Pretrained Transformer may be useful in providing appropriate clinical recommendations for beneficial treatment. Objective: To evaluate the accuracy of (ChatGPT)-4.0 by comparing its appropriateness scores acute with American Academy Orthopaedic Surgeons (AAOS) Appropriate Use Criteria given 30 patient scenarios. “Appropriateness” indicates unexpected benefits treatment exceed...
An experimental study. To explore the concordance of ChatGPT responses with established national guidelines for management cervical spine and spinal cord injuries. ChatGPT-4.0 is an artificial intelligence model that can synthesize large volumes data may provide surgeons recommendations However, no available literature has quantified ChatGPT's capacity to accurate Referencing "Management acute injuries" published by Congress Neurological Surgeons (CNS), a total 36 questions were formulated....
Introduction: Spanish-speaking individuals may experience language-based disparities related to elective orthopaedic procedures. Because patients often seek online health information, we assessed the readability, credibility, and quality of Spanish-language educational websites for knee arthroplasty. Methods: We queried “Google,” “Yahoo,” “Bing” using term “reemplazo de rodilla” (knee replacement in Spanish) extracted top 50 per search engine. Websites were categorized by information source...
Background: Disparities in orthopedic trauma care have been reported for racial-ethnic minority and socially disadvantaged patients. We examined differences perioperative metrics by patient race ethnicity insurance after pelvic fracture a national sample the United States. Materials Methods: The 2016–2019 National Inpatient Sample was queried White, Black, Hispanic patients 18 to 64 years old with private, Medicaid, or self-pay who underwent non-elective surgery. Associations between...
Introduction: Previous research has indicated language-based disparities in outcomes after total hip and knee arthroplasty. In this study, we examined the relationship between primary spoken language patient engagement process metrics a multihospital academic health system. Methods: This retrospective cohort study included patients who underwent elective or arthroplasty 2018 to 2022. Primary was categorized as English, Spanish, Other. Associations were perioperative (same-day discharge,...
Retrospective study.
Abstract Alzheimer’s is a cognitive neurodegenerative disease that mainly affects older adults. Its detection generally evident when the in medium-advanced state of development. The studies are carried out with greater emphasis on part brain, however under scientific evidence there direct relationship psychophysiological measures. Identifying variable can presence this type dementia purpose study. Using fractional Brownian movement and repeated measures t-test applied to electrocardiographic...