AI/ML

Zachary Arose, chief of healthcare technology management at the Dayton VA Medical Center, discusses advances in data governance, clinical engineering, advanced imaging, workflow efficiencies and more.

Mark Polyak, president of analytics at Ipsos, says consumers recognize the promise of easier access to treatment and cost information, and they're comfortable with AI doing administrative tasks. But they’re more cautious about clinical applications.

It has enormous transformative capabilities to improve cardiology research work and hone guidelines for care, says John Meiners, chief of mission aligned businesses and healthcare solutions for the AHA.

Dr. Chethan Sarabu, AI & informatics strategist at OpenNotes, discusses how genAI and LLMs can offer patients new tools to help them navigate and understand their healthcare journeys, from diagnosis to treatment.

Christopher Ahn, biomedical engineer supervisor at the U.S. Department of Veteran Affairs in Dayton, Ohio, discusses the nationwide innovation network at the health system, and how AI is transforming med device management and more.

Artificial intelligence is moving quickly, and the Coalition for Health AI (CHAI) is helping steer the course. Dr. Brian Anderson, the group's cofounder and CEO, discusses its draft Responsible Health AI Framework and other alignment imperatives.

Dr. Lukasz Kowalczyk, a physician at Colorado-based Peak Gastroenterology Associates, discusses the need to deploy artificial intelligence enterprise wide, with a focus on building models that are clinically useful.

Health system C-suites are seeking AI tools that deliver both clinical and economic value and integrate well with EHR workflows, says Dr. Peter Bonis, chief medical officer at Wolters Kluwer Health.

Dr. Antoine Keller, cardiothoracic surgeon at Ochsner Lafayette Hospital, discusses the importance of mitigating implicit bias – and how artificial intelligence can promote access and help the underserved, as with a portable diagnostics tool.

If clinical end users can't be confident in artificial intelligence, it will be difficult to expect them to adopt it, says Dr. Sonya Makhni, medical director of applied informatics at Mayo Clinic Platform.

But big challenges remain, says Michael Pencina, director of Duke AI Health, who discusses the IT infrastructure, workforce and workflow hurdles that need to be overcome before its potential is realized.

Nicole Ramage, senior market insights manager at HIMSS, unpacks new research that tracks where healthcare organizations are on their artificial intelligence journeys.