We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network trained on ChestX-ray14, currently the largest publicly available chest Xray dataset, containing over 100,000 frontalview X-ray images with 14 diseases. Four practicing academic radiologists annotate a test set, on ...

Case presentation 23 year old Myamnmar gentleman was brought to the ED, Hospital Ampang. He accidently shot a 5cm nail into his left chest wall while working at a construction site. His airway was patent and vital signs were stable, however complaints of left chest pain with minimal shortness of breath. The nail was firmly cemented to the medial side of his left nipple. Bedside ultrasound was p...

Premature infants are particularly at risk of iatrogenic pharyngoesophageal perforation. It is a rare occurrence but when it does occur it often mimics esophageal atresia. We presented a case of a term neonate who presented with a hypopharyngeal perforation that resulted during ritual procedure (Ghaanti) done by grandmother. Clinical findings, a plain chest xray, an esophagography and endoscopy...

Materials and methods 16 patients (9 girls) with diagnosis of JDM (age 3–16,2 yrs) performed pulmonary function tests (PFT). 14 were receiving treatment; all had muscular testing. 13 had weakness as major symptom. Respiratory symptoms: dry cough in 2/16; reduced exercise tolerance: 3/16. Chest xray: normal in 13/13. Echocardiogram and ECG: normal in all. 9/16 had positive ANA-Ab; antiJO1 Ab neg...

The world first met the coronavirus (COVID-19) in Wuhan, China December 2019. It has continued to increase its influence from encounter until today. detection of this virus, which caused death many, is great importance There are many approaches disease. One most effective these COVID-19 disease using chest X-Ray images. In paper, an intelligent system was proposed classify normal, pneumonia pat...

The accuracy and interobserver variability of roentgenographic analysis for cardiac size in patients dying with chronic bronchitis and pulmonary emphysema were correlated with pathologic data derived from special studies. Three trained observers were able to accurately and consistently diagnose chronic bronchitis and pulmonary emphysema and to detect cardiomegaly on the chest xray film. The bes...

Gas under the diaphragm in xray film may mislead Pneumoperitonium is suspected when radiographs show the presence of gas under the diaphragm. Recognised causes of pneumoperitoneum include perforation of a viscus, recent abdominal surgery, peritoneal dialysis and Fallopian tube insufflation. Interposition of bowel, usually hepatic flexure of the colon, between the upper border of liver and the r...

The success of deep learning has set new benchmarks for many medical image analysis tasks. However, models often fail to generalize in the presence distribution shifts between training (source) data and test (target) data. One method commonly employed counter is domain adaptation: using samples from target learn account shifted distributions. In this work we propose an unsupervised adaptation a...

A 26-years-old man was admitted to our hospital emergency room for a traumatic pneumothorax four days after a fight. He had dyspnea, decreased blood pressure, tachycardia and tachypnea. Chest Xray showed a left pneumothorax with midline structures desviation and he was treated by intercostal drainage. 30 minutes later he started again with dyspnea and oxygen saturation decreased despite the add...