Artificial Intelligence

The Boston health system's director of AI operations discusses some challenges and best practices for integrating large language models into research and operational tasks while explicitly excluding direct clinical care.

Prolonged understaffing in clinical laboratories threatens to compromise patient care, but deployment of automation and artificial intelligence technologies could offer a lifeline to burned out lab workers.

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.

A comprehensive look at the market by Shahab Vagefi, managing director in Thomas H. Lee Partners' healthcare vertical who specializes in healthcare information technology.

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.