The patient's cough and sputum alleviated, wheezing disappeared, and swelling did not worsen. Further chest x-ray on the same day revealed mediastinal widening compared to preoperative images (Figure ...

There was neither pleural effusion nor significant enlarged mediastinal lymph nodes. Chest X-ray obtained 1 day later, revealed a curvilinear band-like opacity in the left upper lung zone, mimicking a ...

The dyspnea was worst on lying flat than in the semi-recumbent position. The chest X-ray revealed a large mediastinal mass with marked deviation of the trachea to the right with tracheal compression ...

To improve the TB-lesion segmentation model performance, a contextual background label process was designed for decomposing the heterogeneous CXR image background. From the designed process, five ...

Specifically, we aim to Validate the accuracy of Lunit INSIGHT CXR in detecting pulmonary nodules, consolidation, pneumothorax, atelectasis, calcification, cardiomegaly, fibrosis, mediastinal widening ...

Conclusions: Detection of mediastinal lymphadenopathy on chest x ray to diagnose pulmonary tuberculosis in children must be interpreted with caution. Diagnostic accuracy might be improved by refining ...

The chest X-ray (CXR) remains the primary screening tool to identify ... we will be using five different abnormalities to identify images suspicious for malignancy (USC): cavity, mediastinal widening, ...

Doctors need to use diagnostic testing to diagnose mediastinal lymphadenopathy. Chest X-ray is the most common diagnostic test for mediastinal lymphadenopathy. CT scans are more sensitive than ...

Various public Chest X-ray (CXR) datasets focus on radiological abnormalities ... Abnormal heart, great vessels, and mediastinum, Intrathoracic abnormal findings, Pneumonia, COVID-19, and ...

Melissa Gatto stunned the world at UFC Vegas 92 as her fight with Tamires Vidal took a very bizarre turn in the third round. Up until that point, the fight had been playing out quite normally ...

it turned out to be primarily the mediastinal fat pads. Other AI models are also showing promise. It is difficult for radiologists or clinicians to provide a good estimate of the ejection fraction ...

A deep-learning model based on a chest radiograph (CXR) for cardiovascular disease (CVD) risk (CXR CVD-Risk) predicts major adverse cardiovascular events (MACE) beyond the clinical standard ...