Join our on-demand webinar featuring Philips experts and guest panelists as they explore how AI can reduce costs, accelerate diagnosis, streamline workflows and enhance image quality – ultimately helping to strengthen trust and confidence among care teams and patients.
How should health systems implement AI in imaging?
For AI adoption to be successful, it requires significant collaboration between key stakeholders to come together with a desire to streamline processes, mitigate change, enhance clinical conversations and transform point of care across the entire organization.
We welcome you to listen to our Philips experts, Heather Chait, AI Ecosystem Lead; Sonia Tripathi, Head of Marketing, Precision Diagnosis; and Wilson To, Head of Strategy, Informatics, alongside our customers which includes Dr. Jeffrey Miller, Chief of Radiology at Phoenix Children’s Hospital, and Nickki Hardin, Healthcare Director at Huron Consulting Group.
The promise of AI lies in its ability to intelligently and rapidly consolidate information for faster diagnoses across imaging systems, adding more clarity for pathology and giving clinicians a comprehensive view of patient data so they can provide the right care.
We’re not thinking of AI in terms of point solutions anymore. We’re thinking about how that piece of AI impacts the overall enterprise. As Wilson To says, "Radiologists don't want another AI model bolted onto an existing workflow – you’re just adding more work. The end-to-end reinvention of workflow is what {our} customers are now asking for."
Be sure to learn more and read our whitepaper, "The state of AI in diagnostic imaging: readiness, resources and risk tolerance," where you will hear from other radiology administrators across large and small hospital, as well as our experts give practical steps to implement AI into your organization.
Whitepaper: The state of AI in diagnostic imaging: readiness, resources and risk tolerance