Stanford radiologist Matthew Lungren, left, meets with graduate students Jeremy Irvin and Pranav Rajpurkar to discuss the results of detections made by the algorithm. L.A. Cicero Pneumonia puts a ...

Algorithm identifies patients at higher risk for hospital-acquired pneumonia A new data-driven algorithm can identify patients at an increased risk for hospital-acquired pneumonia and ...

A group of Stanford researchers says it has built an algorithm that can diagnose pneumonia in chest x-rays better than the average human radiologists. The group, which includes deep learning ...

Researchers at Stanford have developed a machine learning algorithm, CheXNet, to perform pneumonia diagnosis better than doctors. According to the World Health Organization, two-thirds of the world ...

Add diagnosing dangerous lung diseases to the growing list of things artificial intelligence can do better than humans. A new arXiv paper by researchers from Stanford explains how CheXNet, the ...

Please provide your email address to receive an email when new articles are posted on . A nurse-created algorithm helped determine which patients with multiple myeloma exhibited the highest risk for ...

A new algorithm predicts poststroke pneumonia risk with 93% accuracy in a new study, with tracheostomy status, aspiration, and cognitive impairment as key risk factors.

Primary care providers’ evaluation of survivorship care plans. Intense EC staff education initially and yearly prior to pneumonia season (September-March). 2. Microbiologic analysis of the pathogens ...

Pneumonia is one of the world's leading causes of death and affects over a million people a year in the United States. The disease disproportionately impacts children, older adults, and hospitalized ...

A new data-driven algorithm can identify patients at an increased risk for hospital-acquired pneumonia and ventilator-associated pneumonia and describe characteristics of carbapenem resistance in this ...