A5081686217- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Artificial Intelligence in Healthcare and Education
- Cerebral Palsy and Movement Disorders
- Long-Term Effects of COVID-19
- Balance, Gait, and Falls Prevention
- Machine Learning in Healthcare
- Musculoskeletal pain and rehabilitation
- Influenza Virus Research Studies
- Radiology practices and education
- Healthcare cost, quality, practices
- Medical Imaging and Pathology Studies
- Transcranial Magnetic Stimulation Studies
- Infectious Encephalopathies and Encephalitis
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Cerebrospinal fluid and hydrocephalus
- Neurological disorders and treatments
- Topic Modeling
- Motor Control and Adaptation
- Fetal and Pediatric Neurological Disorders
- Radiomics and Machine Learning in Medical Imaging
- Bacterial Infections and Vaccines
- Neuroscience and Neural Engineering
- Vaccine Coverage and Hesitancy
- COVID-19 diagnosis using AI
Ortenau Klinikum
2022-2024
University Hospital of Lausanne
2020-2024
University of Lausanne
2022-2024
Universidad de Extremadura
1999
Abstract This study aimed to analyze computed tomographic (CT) imaging features of vaccinated and non-vaccinated COVID-19 patients. The population this retrospective single-center cohort consisted hospitalized patients who received a chest CT at the site between July 2021 February 2022. Qualitative scoring systems (RSNA, CO-RADS, COV-RADS), pattern analysis semi-quantitative lung changes were assessed. 105 (70,47% male, 62.1 ± 16.79 years, 53.3% fully vaccinated) included in data analysis. A...
Background: The aim of this study was to evaluate CT (computed tomography) imaging differences for the Delta and Omicron variant in COVID-19 infection. Methods: population derived from a retrospective cohort investigating chest patterns vaccinated nonvaccinated patients. infection were evaluated by qualitative semiquantitative scoring systems, as well pattern analysis. Results: A total 60 patients (70.00% male, 62.53 ± 17.3 years, Delta: 43 patients, Omicron: 17 patients) included....
Abstract This study aimed to analyze the effect of COVID-19 vaccination on occurrence ARDS in hospitalized patients. The population this retrospective, single-center cohort consisted patients with known status and chest computed tomography imaging between July 2021 February 2022. impact was assessed through logistic regression adjusting for demographic differences confounding factors statistical determined using confidence intervals sizes. A total 167 (69% male, average age 58 years, 95% CI...
Abstract Background The Generative Pre-trained Transformer (GPT-4) is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, use LLMs has seen significant spike interest, multitude potential cases have been proposed. In parallel, however, important limitations outlined. Particularly, current LLM encounters limitations, especially symbolic representation accessing contemporary data. recent version GPT-4,...
Turning during walking and volitionally modulating speed introduces complexity to gait has been minimally explored. How do the spatiotemporal parameters vary between young adults at a normal slower while making 90°, 180°, 360° turns? In laboratory setting, of 10 were documented as they made turns 360°. A generalized linear model was utilized determine effect both turning amplitude. Young reducing their different amplitudes significantly decreased cadence spatial increasing temporal...
Abstract Background: The objective of this study was to investigate the impact COVID-19 vaccination on mortality, intensive care unit (ICU) admissions, and organ protection in hospitalized patients. Methods: This retrospective, single-center cohort included patients with confirmed status chest imaging data from July 2021 February 2022. Outcomes such as ICU admission, damage were evaluated using clinical data, CT scans, laboratory parameters. Our used logistic regression advanced statistical...
Turning during walking adds complexity to gait and has been little investigated until now. Research question What are the differences in spatiotemporal parameters between young elderly healthy adults performing quarter-turns (90°), half-turns (180°) full-turns (360°)?The of 10 were recorded a laboratory while turning at 90°, 180° 360°. Two-way mixed ANOVA performed determine effect age amplitude.Elderly slower needed more steps time perform turns larger amplitude than adults. Cadence did not...
Abstract Background COVID-19 vaccination has been shown to prevent and reduce the severity of disease. Aim The aim this study was explore cardioprotective effect in hospitalized patients. Methods In retrospective, single-center cohort study, we included patients with confirmed status from July 2021 February 2022. We assessed outcomes such as acute cardiac events biomarker levels through clinical laboratory data. Results Our analysis covered 167 (69% male, mean age 58 years, 42% being fully...
<sec> <title>BACKGROUND</title> The Generative Pre-trained Transformer (GPT-4) is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, use LLMs has seen significant spike interest, multitude potential cases have been proposed. In parallel, however, important limitations outlined. Particularly, current LLM encounters limitations, especially symbolic representation accessing contemporary data. recent version...
Abstract COVID-19 vaccination has been shown to prevent and reduce the severity of disease. The aim this study was explore cardioprotective effect in hospitalized patients. In retrospective, single-center cohort study, we included patients with confirmed status from July 2021 February 2022. We assessed outcomes such as acute cardiac events biomarker levels through clinical laboratory data. Our analysis covered 167 (69% male, mean age 58 years, 42% being fully vaccinated). After adjustment...
The GPT-4 is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, use LLMs has seen significant spike interest, multitude potential cases have been proposed. In parallel, however, important limitations outlined. Particularly, current encounter limitations, especially symbolic representation accessing contemporary data. recent version GPT-4, alongside newly released plugin features, introduced to mitigate...
Abstract Background: COVID-19 can lead to acute respiratory distress syndrome (ARDS) due a dysregulated immune response and direct lung damage. Vaccination against bears potential reduce ARDS prevalence in COVID-19. This study aimed analyze the effect of vaccination on occurrence hospitalized patients. Methods: The population this retrospective, single-center cohort consisted patients with known status chest computed tomography (CT) imaging between July 2021 February 2022. onset was assessed...
Zielsetzung Ziel dieser Studie war es CT-graphische pulmonale Manifestationen bei geimpften und nicht Covid-19 Patient*innen zu untersuchen, um mögliche Veränderungen in der CT-graphischen Manifestation von Covid-19-Pneumonien einem Setting einer zunehmenden Durchimpfung festzustellen.
The authors describe a 14 year-old boy with bilateral arachnoid cysts of the sylvian area and temporal lobe hypoplasia. Also showed vermis brainstem Clinically manifest severe encephalopathy tetraparesia, autism late onset polymorphic epilepsy. He presented favorable outcome valproate vigabatrine. To best our knowledge only one case like ours has been reported.