Cardiovascular Outcomes Associated With Exposure To Radiation Therapy In Thoracic Malignancies: An Insight Study Using the National Inpatient Database.

Background Thoracic irradiation is a widely used therapeutic and palliative treatment option for thoracic neoplasms. However, short- and long-term cardiovascular adverse effects of radiation exposure remain a major concern. The short-term adverse effects are observed within months of exposure such as pericardial diseases; meanwhile, the long-term complications are usually insidious and manifest over decades, such as congestive heart failure, coronary artery disease, cardiomyopathy, conduction disorders, constrictive pericarditis, and valvular heart disease.

Outcomes in patients with COVID-19 and new onset heart blocks: Insight from the National Inpatient Sample database.

Background: Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in a worldwide health crisis since it first appeared. Numerous studies demonstrated the virus's predilection to cardiomyocytes; however, the effects that COVID-19 has on the cardiac conduction system still need to be fully understood.

Aim: To analyze the impact that COVID-19 has on the odds of major cardiovascular complications in patients with new onset heart blocks or bundle branch blocks (BBB).

Impact of Hospital Readmissions Reduction Program Policy on 30-Day and 90-Day Readmissions in Patients With Acute Myocardial Infarction: A 10-Year Trend From the National Readmissions Database.

Hospital readmissions following acute myocardial infarction (AMI) pose a significant economic burden on health care utilization. The hospital readmission reduction program (HRRP) enacted in 2012 focused on reducing readmissions by penalizing Centers for Medicare & Medicaid Services (CMS) Medicare hospitals. We aim to assess the trend of readmissions after AMI hospitalization between 2010 and 2019 and assess the impact of HRRP.

A general skull stripping of multiparametric brain MRIs using 3D convolutional neural network.

Accurate skull stripping facilitates following neuro-image analysis. For computer-aided methods, the presence of brain skull in structural magnetic resonance imaging (MRI) impacts brain tissue identification, which could result in serious misjudgments, specifically for patients with brain tumors. Though there are several existing works on skull stripping in literature, most of them either focus on healthy brain MRIs or only apply for a single image modality.