Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

Recently, experts explored the efficacy of two deep learning models for grading COPD severity based on chest radiographs—a method that has not yet been thoroughly tested.

Researchers have developed deep-radiomics-based models capable of predicting osteoporosis with high accuracy and without need for DXA imaging. 

In a blind pilot study, inexperienced users successfully captured images for 100% of patients using AI guidance.

Authors of the study noted that using the algorithm eliminates the issue of subjectivity and time-consuming visual assessments of emphysema.

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.

After being presented with more than 15,000 images, each DL network yielded results comparable to that of four seasoned radiologists, authors of a new EJR study said.

Experts have developed an artificial intelligence model that can estimate gestational age with accuracy that rivals that of formally trained sonographers completing fetal biometry scans.