Philips, Mayo Clinic using AI to improve cardiac MRI technology

Royal Philips and Mayo Clinic have announced a new collaboration focused on improving cardiac MRI technology and helping more patients gain access to high-quality medical imaging.

Highlighting the important role MRI scans play in the day-to-day diagnosis and treatment of ischemic heart disease, the two companies plan on combining their artificial intelligence (AI) capabilities to make MRI scanners easier to use, for example, and more efficient. 

“From the patient perspective, MRI scans can be stressful,” Ioannis Panagiotelis, PhD, business leader of MRI at Philips, said in a statement. “A complex cardiac MRI exam can take over an hour, which is often challenging for patients who suffer from claustrophobia inside the bore of the scanner, find it difficult to lie still or are unable to hold their breath for the required time. By applying AI at every stage of a cardiac MRI exam, we intend to expand access and greatly improve the patient experience, increase departmental efficiency, and deliver the detailed diagnostic information needed for optimal patient outcomes.”

Another goal for the two companies is to explore the potential use of lower-field-strength MRI scanners for patients with implants that may be sensitive to higher magnetic fields. 

A busy week for Philips at RSNA

Philips and Mayo Clinic announced the collaboration during RSNA 2024 in Chicago, and it wasn’t the first big Philips news to come out of the conference. The company previously debuted its newest CT scanner, the CT 5300, at the start of RSNA, highlighting its advanced AI applications and improved patient positioning features.

“The productivity and diagnostic confidence enhancements that AI can deliver to CT imaging empower care teams and ease departmental workflow, helping to mitigate today’s chronic shortage of highly skilled radiologists and technicians,” Dan Xu, business leader of CT at Philips, said at the time. 

Michael Walter
Michael Walter, Managing Editor

Michael has more than 18 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.

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