Few studies have examined long-term mortality following traumatic brain injury (TBI) in a military population. This is a secondary analysis of a prospective, longitudinal study that examines long-term mortality (up to 10 years) post-TBI, including analyses of life expectancy, causes of death, and risk factors for death in service members and veterans (SM/V) who survived the acute TBI and inpatient rehabilitation. Among 922 participants in the study, the mortality rate was 8.
View Article and Find Full Text PDFBackground: The use of large language models like ChatGPT is becoming increasingly popular in health care settings. These artificial intelligence models are trained on vast amounts of data and can be used for various tasks, such as language translation, summarization, and answering questions.
Observations: Large language models have the potential to revolutionize the industry by assisting medical professionals with administrative tasks, improving diagnostic accuracy, and engaging patients.
In order to address a long standing challenge for internal medicine physicians we developed artificial intelligence (AI) models to identify patients at risk of increased mortality. After querying 2,425 records of patients transferred from non-intensive care units to intensive care units from the Veteran Affairs Corporate Data Warehouse (CDW), we created two datasets. The former used 22 independent variables that included "Length of Hospital Stay" and "Days to Intensive Care Transfer," and the latter lacked these two variables.
View Article and Find Full Text PDFPatient motion artifacts are often visible in densely sampled or large wide field-of-view (FOV) retinal optical coherence tomography (OCT) volumes. A popular strategy for reducing motion artifacts is to capture two orthogonally oriented volumetric scans. However, due to larger volume sizes, longer acquisition times, and corresponding larger motion artifacts, the registration of wide FOV scans remains a challenging problem.
View Article and Find Full Text PDFWe propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots.
View Article and Find Full Text PDFIn spite of many interesting attempts, the problem of automatically finding alignments in a 2D set of points seems to be still open. The difficulty of the problem is illustrated here by very simple examples. We then propose an elaborate solution.
View Article and Find Full Text PDFA sebaceous carcinoma was diagnosed, together with a mammary carcinoma, in an adult African hedgehog (Atelerix albiventris). The first neoplasm was located in the subcutaneous tissue of the neck and extended towards the axillary area of the chest. The second was located in the subcutaneous left caudal abdominal region.
View Article and Find Full Text PDFA case of oral fibrosarcoma in a 13-yr-old male black iguana (Ctenosaura pectinata) is reported here. The iguana exhibited new tissue formation involving a large part of the maxilla and hard palate, which histologically and ultrastructurally corresponded to a primary fibrosarcoma of the oral cavity. Although there are reports of fibrosarcomas in other reptiles, such as snakes and crocodiles, no reports of this neoplasm in the oral cavity of an iguana were reported, which suggests that it is either infrequent or infrequently sampled for histological diagnosis.
View Article and Find Full Text PDFBackground: A 49-year-old man with spinal cord injury (SCI) developed a progressive purpuric rash and painful swelling of the lower extremities, in addition to chronic purpura over the ischial tuberosities.
Design: Case report.
Findings: Following an extensive workup for presumed vasculitis, a skin biopsy showed evidence of scurvy.