Artificial Intelligence

COVID-19 has heightened public interest in vaccine and therapeutic research, and it's time to build on that engagement, finding new ways to enroll volunteers in other clinical trials, says CCT President CJ Anderson.

Machine learning can help flag troubling patterns and improve systems moving forward, says Dr. Elizabeth Marshall, director of clinical analytics at Linguamatics.

Its cloud-based natural language processing technology can help health insurers mine unstructured clinical data to track accountable care with HEDIS measures.

CLEW Medical's ICU tool uses machine learning models to identify patients whose conditions are likely to deteriorate.

Collaboration on the Azure platform will help "deliver personalized digital experiences and make more data-informed decisions," says Kaiser's interim CIO.

The company's software uses machine learning to suggest diagnoses based on medical records with the aim of ensuring no condition is overlooked.

Theft and fraud are becoming major patient safety issues – and experts say the patchwork nationwide approach to COVID-19 vaccine distribution could be making matters worse.

Practical machine learning applications can help improve safety and efficiency – automating medication history in hospital EHRs and aggregating patient records in consumer apps, says DrFirst President Cameron Deemer.

Machine learning applications are proliferating and improving, and this month we'll explore the many ways they're being put to work.

Philips unveiled an integrated suite of offerings which promises to revolutionize workflow in the radiology department by addressing the most pressing operational challenges across diagnostic and interventional radiology, at the RSNA 2020 virtual event.