Artificial Intelligence
Laura Cooley, editor in chief of Journal of Patient Experience, says many patients are skeptical of artificial intelligence, and work must be done to overcome that in order to unlock its benefits for their healthcare experience.
NewYork-Presbyterian researchers have developed a deep learning model that increases doctors' abilities to diagnose structural heart problems, while increased access to artificial intelligence innovations could help save thousands of lives per year.
The SheHer app, which enables women to find healthcare content and medical professionals, is being translated for global use. Cofounder Mariatheresa Kadushi says it will also collect data that can train AI to help reduce bias.
AI and synthetic-driven research can help clinicians gain a patient's trust, according to Adrienne Boissy, Qualtrics CMO.
As Catalonia's AI-driven clinical support system has earned an 85% satisfaction rate from clinicians, Tino Martí of the region's Department of Health says communication and training will help close awareness gaps about the tool.
Staff buy-in is key to making AI work, says Dr. Lukasz Kowalczyk, a gastroenterologist and CEO of Soothien HealthTech Advisory – who also holds forth on the promise of agentic AI, the value of voice agents and the right balance of build-buy-blend.
As European healthcare data regulations evolve, Alexander Berler, IHE Catalyst's strategic business development director, says adopting its integration profiles can help vendors ensure their tools meet interoperability standards.
Success Stories & ROI
Additional results include a 30% improvement in MRI imaging turnaround time, an 83% reduction in patient placement time and a 28% decrease in post-anesthesia care unit holds, among other successes.
In Brooklyn this past week, leaders from health organizations of all shapes and sizes explored artificial intelligence's challenges and immense opportunities – from basic data governance to advanced agentic models (and everything in-between).