Publications by authors named "Betsy J Medina Inojosa"
Article Synopsis
- Loneliness and social isolation are linked to negative health effects like heart disease and may speed up biological aging, as shown by AI-enabled heart studies.
- The study analyzed over 280,000 adults to assess social isolation and its effects, finding that increased social connections led to a healthier biological age and reduced risk of death.
- The findings suggest that improving social connections is essential for health care, as social isolation can significantly impact aging and overall mortality rates.
Article Synopsis
- The study aimed to determine if a body volume index (BVI) derived from demographic data and measurements from a 3D body scanner could effectively predict metabolic syndrome (MS) severity.
- Researchers enrolled 1,280 participants, using various data analysis techniques to identify key features related to MS, and achieved high predictive accuracy (AUC of 0.83) in their models.
- The BVI showed better association with MS severity than traditional metrics like BMI, suggesting it could be an effective tool for screening individuals for metabolic syndrome.
MedYOLO: A Medical Image Object Detection Framework.
Joseph Sobek Jose R Medina Inojosa Betsy J Medina Inojosa S M Rassoulinejad-Mousavi Gian Marco Conte
J Imaging Inform Med
December 2024
Article Synopsis
- The study discusses the use of convolutional neural networks (CNNs) for identifying organs and lesions in medical imaging, highlighting the challenges in generating high-quality training labels due to the time and expertise required.
- It introduces MedYOLO, a new 3-D object detection framework specifically designed for medical imaging, utilizing a one-shot detection method that could alleviate the need for detailed voxel-level precision.
- The performance of MedYOLO was tested on four medical imaging datasets, achieving high accuracy on most but facing difficulties with certain structures, particularly underperforming on the LIDC dataset.
Article Synopsis
- Extended sedentary behavior is linked to health risks, and integrating physical activity into office work environments could be a solution to reduce this issue.
- A clinical trial tested different active workstations (standing, walking, stepping) against traditional sitting stations in an employee wellness center, measuring cognitive function and fine motor skills among 44 healthy participants.
- Results showed that active workstations improved cognitive performance without significantly impairing typing abilities, indicating they could help decrease sedentary time at work.
Cardiovascular complications associated with the severe acute respiratory syndrome coronavirus 2 infection are common and lead to high mortality in the acute phase and high morbidity in the chronic phase impacting an individual's quality of life and health outcomes. Patients afflicted with coronavirus disease-2019 (COVID-19) infection display an increased risk for myocarditis, dysrhythmia, pericarditis, ischemic heart disease, heart failure, and thromboembolism. Although cardiovascular complications are reported across all patients with COVID-19, hospitalized patients with severe infection are most vulnerable.
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