A5054924900- Epilepsy research and treatment
- EEG and Brain-Computer Interfaces
- Traumatic Brain Injury and Neurovascular Disturbances
- Innovations in Medical Education
- Artificial Intelligence in Healthcare and Education
- Genetics and Neurodevelopmental Disorders
- Clinical Reasoning and Diagnostic Skills
- Mosquito-borne diseases and control
- Skin Diseases and Diabetes
- Biomedical Text Mining and Ontologies
- Childhood Cancer Survivors' Quality of Life
- Botulinum Toxin and Related Neurological Disorders
- Dermatological and COVID-19 studies
- Genomic variations and chromosomal abnormalities
- Heart Rate Variability and Autonomic Control
- Neuroscience and Neuropharmacology Research
- Ophthalmology and Visual Health Research
- Infectious Encephalopathies and Encephalitis
- Long-Term Effects of COVID-19
- Congenital heart defects research
- Cardiovascular Syncope and Autonomic Disorders
- Viral Infections and Vectors
- Autoimmune Neurological Disorders and Treatments
- Vascular Malformations Diagnosis and Treatment
- Advancements in Semiconductor Devices and Circuit Design
The University of Texas Southwestern Medical Center
2023-2025
Mayo Clinic in Arizona
2023-2024
Cleveland Clinic
2023-2024
Massachusetts General Hospital
2021-2024
Harvard University
2021-2024
Centre Hospitalier Universitaire Sainte-Justine
2024
Mayo Clinic in Florida
2024
Boston Children's Hospital
2024
Aarhus University
2024
Louisiana State University
2024
In the United States, many child neurologists (CNs) and neurodevelopmental disability (NDD) specialists who read EEGs in clinical practice had no additional EEG training other than what was received during residency. This highlights importance of ensuring that CN/NDD residents achieve competence before graduation. However, prior survey-based evidence showed roughly a third graduating CN States do not feel confident interpreting independently. As part needs assessment, we conducted...
Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in recognizing and generating human-like language, possibly serving as valuable tools for neurology-related information tasks. Although LLMs have shown remarkable potential various areas, their performance the dynamic environment of daily clinical practice remains uncertain. This article outlines multiple limitations challenges using settings need to be addressed, including limited reasoning, variable...
<bold>Introduction:</bold> Multiple risk factors of mortality have been identified in patients with COVID-19. Here, we sought to determine the effect a history neurological disorder and development manifestations on hospitalized <bold>Methods:</bold> From March 20 May 20, 2020, laboratory confirmed or highly suspected COVID-19 were at four hospitals Ohio. Previous disease was classified by severity (major minor). Neurological during course also grouped into major minor manifestations....
Approximately 30% of critically ill patients have seizures, and more than half these seizures do not an overt clinical correlate. EEG is needed to avoid missing prevent overtreatment with antiseizure medications. Conventional-EEG (cEEG) resources are logistically constrained unable meet their growing demand for seizure detection even in highly developed centers. Brief screening the validated 2HELPS2B algorithm was proposed as a method triage cEEG resources, but it hampered by requirements,...
Systematic literature review is essential for evidence-based medicine, requiring comprehensive analysis of clinical trial publications. However, the application artificial intelligence (AI) models medical mining has been limited by insufficient training and evaluation across broad therapeutic areas diverse tasks. Here, we present LEADS, an AI foundation model study search, screening, data extraction from literature. The trained on 633,759 instruction points in LEADSInstruct, curated 21,335...
The emergence of artificial intelligence (AI) has revolutionized the landscape epilepsy education and management by providing innovative solutions to challenges diagnosis, treatment, patient care. This review evaluates multifaceted role AI in epilepsy, focusing on its impact early seizure prediction, development personalized treatment plans. tools, including machine learning algorithms neural networks, have demonstrated significant promise enhancing diagnostic accuracy identifying epileptic...
Purpose: To understand the current state of epilepsy surgery education delivered to fellows in United States. Methods: An online survey focused on characteristics was distributed all 93 fellowship program directors listed ACGME website (accessed May 2022). Programs were stratified per number currently enrolled: 0 3 (group A) and ≥4 B). Results: Forty-one (44%) programs included study. The average resective surgeries, ablations, or corpus callosotomies year mostly 30 (54%) group A >30...
Glomus tumor is an exceedingly rare neoplasm that derived from cells of the neuromyoarterial glomus or body. It rarely occurs in visceral organs where body may be sparse even absent, such as stomach, intestines, mediastinum, and respiratory tract. unusual for a to demonstrate atypical malignant histopathological characteristics. also express clinically aggressive behavior. However, when metastasis does occur, this disease often fatal. We herein report interesting case middle-age woman...
The integration of natural language processing (NLP) tools into neurology workflows has the potential to significantly enhance clinical care. However, it is important address limitations and risks associated with integrating this new technology. Recent advances in transformer-based NLP algorithms (e.g., GPT, BERT) could augment care by summarizing patient health information, suggesting options, assisting research involving large datasets. these platforms have including fabricated facts data...
We created a framework to assess the competency-based EEG curriculum, outlined by International League Against Epilepsy (ILAE) through video-based online educational resource ("Roadmap EEGs") and assessed its effectiveness feasibility in improving trainees' knowledge.
Abstract CAR-T cell therapy is an effective cancer for multiple refractory/relapsed hematologic malignancies but associated with substantial toxicity, including Immune Effector Cell Associated Neurotoxicity Syndrome (ICANS). Improved detection and assessment of ICANS could improve management allow greater utilization therapy, however, objective, specific biomarker has not been identified. We hypothesized that the severity can be quantified based on patterns abnormal brain activity seen in...
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Patients with Dravet syndrome (DS) and their caregivers must navigate a complex process upon transitioning from pediatric to adult healthcare settings. Our study examines the state of care transfer patients DS in U.S. A 34-question e-survey evaluating patient demographics, clinical features, details was sent adults (≥18 years old) residing through Syndrome Foundation. Forty-six responses were included analysis. Twenty-nine (n = 29/46) did not undergo - mostly because they still followed by...
BACKGROUND Multiple system atrophy cerebellar type (MSA-C) is a subtype of MSA that presents with predominant ataxia along lesser signs parkinsonism and autonomic dysfunction. Previous studies have shown benefits from carbidopa/levodopa therapy for the parkinsonian but few focused on MSA-C subtype. We present video case demonstrated significant improvement therapy. CASE REPORT A right-handed 61-year-old man past medical history chronic microvascular ischemia, mild lower extremity neuropathy,...
Abstract Background: Electroencephalography (EEG) is needed to diagnose nonconvulsive seizures (NCS). Prolonged NCSs are associated with neuronal injuries and deleterious clinical outcomes. However, it uncertain whether the rapid identification of these using point-of-care EEG (POC-EEG) can have a positive impact on Methods: In retrospective cohort sub-analysis recently completed multicenter SAFER-EEG trial, we compared intensive care unit length stay (ICU LOS), poor functional outcome...