Active clinical trials for "Cardiomegaly"

This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The Lunit INSIGHT CXR is a validation study that aims to assess the utility of an Artificial Intelligence-based (AI) chest X-ray (CXR) interpretation tool in assisting the diagnostic accuracy, speed, and confidence of a varied group of healthcare professionals. The study will be conducted using 500 retrospectively collected inpatient and emergency department CXRs from two United Kingdom (UK) hospital trusts. Two fellowship trained thoracic radiologists will independently review all studies to establish the ground truth reference standard. The Lunit INSIGHT CXR tool will be used to analyze each CXR, and its performance will be measured against the expert readers. The study will evaluate the utility of the algorithm in improving reader accuracy and confidence as measured by sensitivity, specificity, positive predictive value, and negative predictive value. The study will measure the performance of the algorithm against ten abnormal findings, including pulmonary nodules/mass, consolidation, pneumothorax, atelectasis, calcification, cardiomegaly, fibrosis, mediastinal widening, pleural effusion, and pneumoperitoneum. The study will involve readers from various clinical professional groups with and without the assistance of Lunit INSIGHT CXR. The study will provide evidence on the impact of AI algorithms in assisting healthcare professionals such as emergency medicine and general medicine physicians who regularly review images in their daily practice.

Patients with Chronic Kidney Disease (CKD) are upto 3.5 times more likely to die from diseases of heart and blood vessels (Cardiovascular Disease-CVD). Vitamin D insufficiency is very common in CKD and associated with CVD. Animal studies have shown an improvement in heart size and function with Vitamin D therapy, although evidence in humans is lacking. The proposed study will test if oral Vitamin D treatment, in deficient CKD patients, will improve heart enlargement and function. With these proposed changes the investigators expect to reduce CVD and deaths in patients with CKD.

The purpose of this study is to describe the design, methodology and evaluation of the preclinical test of Carebot AI CXR software, and to provide evidence that the investigated medical device meets user requirements in accordance with its intended use. Carebot AI CXR is defined as a recommendation system (classification "prediction") based on computer-aided detection. The software can be used in a preclinical deployment at a selected site before interpretation (prioritization, display of all results and heatmaps) or after interpretation (verification of findings) of CXR images, and in accordance with the manufacturer's recommendations. Given this, a retrospective study is performed to test the clinical effectiveness on existing CXRs.

The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.

This study is designed to learn more about children who have blockage of the left side of their heart. The goal is to determine how much the heart muscle has thickened before surgery and how it changes in the months after surgery. Investigators are also looking for blood tests that may help them predict which patients will have the most thickening pre-operatively and the best return towards normal after surgery. The findings of this study will help the investigators develop new tests to monitor affected patients and develop new therapies to help minimize heart thickening.