A5037260459- Trauma and Emergency Care Studies
- Glioma Diagnosis and Treatment
- Cardiac, Anesthesia and Surgical Outcomes
- Traumatic Brain Injury and Neurovascular Disturbances
- Artificial Intelligence in Healthcare and Education
- COVID-19 and healthcare impacts
- Meningioma and schwannoma management
- Diversity and Career in Medicine
- Spinal Fractures and Fixation Techniques
- Neurosurgical Procedures and Complications
- Emergency and Acute Care Studies
- Surgical Simulation and Training
- CAR-T cell therapy research
- Injury Epidemiology and Prevention
- Health and Medical Research Impacts
- Pituitary Gland Disorders and Treatments
- Acute Ischemic Stroke Management
- Ethics in Clinical Research
- Head and Neck Surgical Oncology
- Frailty in Older Adults
- Intracranial Aneurysms: Treatment and Complications
- Patient-Provider Communication in Healthcare
- Healthcare cost, quality, practices
- Spinal Dysraphism and Malformations
- Vascular Malformations Diagnosis and Treatment
Brown University
2018-2024
University of Pittsburgh
2023-2024
Rhode Island Hospital
2018-2024
University of Pennsylvania
2022-2024
Neurological Surgery
2020-2024
University of Pittsburgh Medical Center
2023-2024
John Brown University
2023
Providence College
2018-2023
Memorial Sloan Kettering Cancer Center
2017-2022
Translational Therapeutics (United States)
2022
BACKGROUND AND OBJECTIVES: General large language models (LLMs), such as ChatGPT (GPT-3.5), have demonstrated the capability to pass multiple-choice medical board examinations. However, comparative accuracy of different LLMs and LLM performance on assessments predominantly higher-order management questions is poorly understood. We aimed assess 3 (GPT-3.5, GPT-4, Google Bard) a question bank designed specifically for neurosurgery oral boards examination preparation. METHODS: The 149-question...
Interest surrounding generative large language models (LLMs) has rapidly grown. Although ChatGPT (GPT-3.5), a general LLM, shown near-passing performance on medical student board examinations, the of or its successor GPT-4 specialized examinations and factors affecting accuracy remain unclear. This study aims to assess 500-question mock neurosurgical written examination. The Self-Assessment Neurosurgery Examinations (SANS) American Board Neurological Surgery Examination 1 was used evaluate...
Abstract Background Interest surrounding generative large language models (LLMs) has rapidly grown. While ChatGPT (GPT-3.5), a general LLM, shown near-passing performance on medical student board examinations, the of or its successor GPT-4 specialized exams and factors affecting accuracy remain unclear. Objective To assess 500-question mock neurosurgical written boards examination. Methods The Self-Assessment Neurosurgery Exams (SANS) American Board Neurological Surgery (ABNS) Exam 1 was...
Informed consent is integral to the practice of medicine. Most informed documents are written at a reading level that surpasses comprehension average American. Large language models, type artificial intelligence (AI) with ability summarize and revise content, present novel opportunity make used in forms more accessible American thus, improve quality consent. In this study, we experience largest health care system state Rhode Island implementing AI readability documents, highlighting one...
Despite the importance of informed consent in healthcare, readability and specificity forms often impede patients' comprehension. This study investigates use GPT-4 to simplify surgical introduces an AI-human expert collaborative approach validate content appropriateness. Consent from multiple institutions were assessed for simplified using GPT-4, with pre- post-simplification metrics compared nonparametric tests. Independent reviews by medical authors a malpractice defense attorney...
Abstract Background General large language models (LLMs), such as ChatGPT (GPT-3.5), have demonstrated capability to pass multiple-choice medical board examinations. However, comparative accuracy of different LLMs and LLM performance on assessments predominantly higher-order management questions is poorly understood. Objective To assess three (GPT-3.5, GPT-4, Google Bard) a question bank designed specifically for neurosurgery oral boards examination preparation. Methods The 149-question...
Mutational inactivation of the SWI/SNF chromatin regulator ATRX occurs frequently in gliomas, most common primary brain tumors. Whether and how deficiency promotes oncogenesis by epigenomic dysregulation remains unclear, despite its recent implication both genomic instability telomere dysfunction. Here we report that Atrx loss recapitulates characteristic disease phenotypes molecular features putative glioma cells origin, inducing cellular motility although also shifting differentiation...
Differentiating the types of pediatric posterior fossa tumors on routine imaging may help in preoperative evaluation and guide surgical resection planning. However, qualitative radiologic MR review has limited performance. This study aimed to compare different machine learning approaches classify imaging. retrospective included 288 patients with tumors, including medulloblastoma (n = 111), ependymoma 70), pilocytic astrocytoma 107). Radiomics features were extracted from T2-weighted images,...
The epidermal growth factor receptor variant III (EGFRvIII) has been investigated as a therapeutic target for chimeric antigen (CAR) T cell therapy in glioblastoma. Earlier research demonstrated that phenotypic and genotypic characteristics cells CAR product predicted success hematologic malignancies, to date no determinants clinical response solid tumors have identified. We analyzed apheresis infusion products from the first-in-human trial of EGFRvIII-directed recurrent glioblastoma...
INTRODUCTION: Large language models (LLMs) have shown promising performance on medical licensing exams, but their ability to excel in subspecialty domains and robustness under adversarial conditions remain unclear. METHODS: AtlasGPT was built using GPT-4 with retrieval-augmented generation from expert-verified neurosurgical knowledge sources. Its compared Gemini Advanced a 149-question neurosurgery exam. Adversarial testing assessed misinformation. Answer explanations were rated by 15...
INTRODUCTION: The Spinal Instability Neoplastic Score (SINS) is an 18-point index used to identify patients with metastatic spinal tumors who may benefit from surgical referral. SINS categorizes according stability using six variables: lesion location, quality, alignment, vertebral collapse, posterolateral element involvement, and mechanical pain. A modified that can be evaluated on imaging could as a screening tool by radiologists facilitate earlier referral, particularly for intermediate...
Traumatic intracranial hemorrhage (tICH) is a significant source of morbidity and mortality in trauma patients. While prognostic models for tICH outcomes may assist alerting clinicians to high-risk patients, previously developed face limitations, including low accuracy, poor generalizability, the use more variables than practical. This study aimed construct simpler accurate method risk stratification all
Within the glioblastoma cellular niche, glioma stem cells (GSCs) can give rise to differentiated (DGCs) and, when necessary, DGCs reciprocally GSCs maintain equilibrium necessary for optimal tumor growth. Here, using ribosome profiling, transcriptome and m 6 A RNA sequencing, we show that from patients with different subtypes of share a set transcripts, which exhibit pattern loss increased protein translation during differentiation. The target sequences group miRNAs overlap canonical RRACH...
Objectives: The coronavirus disease 2019 (COVID-19) pandemic has created several challenges for residency programs and prospective interns alike during the upcoming application cycle, including cancellation of away sub-internships in-person interviews. Given prior research documenting that applicants' ranking decisions are significantly influenced by webpages, a potential solution to loss experiences is expansion programs' online presence through their program websites, provision virtual...
BACKGROUND: Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury is not well characterized. OBJECTIVE: To analyze association between and intracranial hemorrhage (tICH) nationwide cohort. METHODS: We identified all adult admissions tICH National Trauma Data Bank from 2007 to 2017. Frailty was quantified using validated modified 5-item Index (mFI-5) metric (range = 0-5), with...