AI & ML Intelligence

The burden then shifts to hospitals, which puts clinicians in a tough spot, relying on AI that might not generalize, with no real way to track performance or course correct – that's an unacceptable blind spot, says one healthcare AI governance expert.

IEEE Fellow Chenyang Lu shows where artificial intelligence can be deployed clinically to improve patient outcomes – and discusses the challenges and future of AI throughout healthcare.

Healthcare organizations with fewer resources could use the new free and open-source tools to validate any artificial intelligence model and monitor its ongoing performance. "This is your cookbook," says Corey Miller, Epic's VP of R&D.

The health system’s Cedars-Sinai Connect primary care application has been especially effective, says CIO Craig Kwiatkowski, who describes how he measures an app’s success and how his team is protecting against AI biases.

Craig Kwiatkowski is calibrating the pace of the health system's artificial intelligence adoption to ensure it's deploying generative AI safely and responsibly.

That could completely change the landscape for perinatal care and greatly improve outcomes, says the director of obstetric imaging at Beth Israel Deaconess Medical Center, especially in settings where this was not previously possible.

The healthcare industry must simultaneously guard against technology outpacing its practical uses, says one physician and CIO.

That's what the innovation chief at TruBridge, a member of the Microsoft-backed TRAIN AI consortium, says, as he brings the rural healthcare point of view to the responsible artificial intelligence table.

Large language model AI can help with the redistribution of routine tasks to nonphysician staff and directly to patients, getting patients to take an active role in their healthcare journey, and enhancing patient engagement and self-management, an expert says.

James McHugh, managing director at Berkeley Research Group, reveals quite positive feelings among provider organization executives on deploying artificial intelligence in the next three years.