Machine learning models to identify the simplest way to screen for lung cancer have been developed by researchers from UCL and the University of Cambridge, bringing personalized screening one step ...
In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...
Researchers have developed a deep learning model that, in certain conditions, is more than 71 percent accurate in predicting survival expectancy of lung cancer patients, significantly better than ...
Sample images from the lung CT scan dataset showing COVID-19-positive (left) and COVID-negative (right) scans. (Courtesy: Mach. Learn.: Sci. Technol. 10.1088/2632-2153/abf22c) A new deep-learning ...
In a recent column, you noted that many patients do not properly use their inhaled asthma/chronic obstructive pulmonary disease (COPD) medications, but you didn’t tell us how to properly use them. I’d ...
Early detection saves lives, especially when it comes to lung cancer. Lung cancer is the leading cause of cancer deaths worldwide. Providence St. Joseph Hospital Eureka is urging Humboldt County ...
Digital chest radiographs of a patient with primary adenocarcinoma. Without DCNN software assistance, the three readers interpreted this as a normal chest radiograph. With the DCNN’s suggestion ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback