A curated collection of the most timely and relevant news, updates and information from the world of AI and machine learning.
AI system helped to reduce the time-related decline in colonoscopy quality while supporting endoscopist performance and adenoma detection.
Researchers use AI to help the diagnosis of COVID-19 through computerized symptom screenings to supplement at-home COVID-19 tests.
A deep-learning algorithm can help radiologists distinguish between two conditions in CT images of patients with large-bowel wall thickening.
Development, Validation of a Deep Learning Algorithm To Differentiate Colon Carcinoma From Diverticulitis in CT Images
An AI support system significantly improved the sensitivity and specificity and reduced the number of false-negative and false-positive findings in CT images.
Johns Hopkins researchers developed a new machine-learning model by accurately predicted delirium-prone patients up to 90 percent of the time.
A new discovery on physics-inspired machine learning is used to forecast space weather more accurately and predict serious space storms.