Thirteen healthcare companies have reached $1 billion in valuation this year, an especially notable achievement as the U.S. economy approaches a recession and investors pull back.

AIRI//S provides pre-validated, simple, scalable infrastructure for all stages of the AI data pipeline.

With the help of AI, technologists at a hospital in Guyana were able to reduce mammographic positioning error rates from 20% to 5%.

Combining CT lung measurements with machine learning models to predict prognosis in COPD patients could help to lessen their reliance on emergency services. 

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.

A multi-institutional image-data repository launched to support AI-based research into COVID-19 has been the beneficiary of more than 30,000 anonymized imaging files from the Radiological Society of North America alone.

Researchers have combined three emerging technologies to detect and classify breast cancers found in follow-up imaging of women whose recent screening mammography was deemed normal.