AI

Jayden Jung, head of business development at AIRS Medical, discusses SwiftMR, the company's AI-powered product that shortens MRI scan times by an average of 40% without sacrificing image quality so hospitals can scan 30% more patients.

AI-powered radiology tools aren't yet ready to make diagnoses; they must return accurate results and save time to be truly useful to burned-out radiologists, says Dr. Benoit Desjardins, University of Pennsylvania radiology professor.

The freely-downloadable tool, called Dioptra, is designed to help artificial intelligence developers understand some unique data risks with AI models, and help them "mitigate those risks while supporting innovation," says NIST's director.

New insights from a recent roundtable discussion see stakeholders recognizing the need to balance the promise of artificial intelligence with "ethical considerations, patient engagement and robust regulatory frameworks.

If artificial intelligence can do good for struggling patients and help them avoid crippling medical debt, half of the Americans said they are in.

Lightbeam Health Solutions uses predictive analytics and AI to help payers and health systems determine patients' risk profiles and assign the patients to the most appropriate care path. Jerry Shultz, its president, explains.

Several factors combined to hit healthcare hardest again this year, but new research by the Ponemon Institute and IBM Security also found that using artificial intelligence in security reduced attacks' severity in terms of cost and recovery time.

Integrating analytics and care coordination recommendations into EHR workflows has helped reduce lengths of stay, says the health system's COO – lowering costs, boosting patient access and reducing burdens for nurses and other clinicians.

The hospital group has recently demonstrated EMR and IT infrastructure maturity above the regional and global averages.

It consolidates existing data infrastructure across the sector into one common platform.