Collaboration paves the way for improved interoperability.
Cloud-based medical image management company Ambra Health announced Tuesday it will partner with the vendor neutral artificial intelligence (AI) platform Arterys. It’s a move that will streamline interoperability and accelerate the use of AI applications, the companies said.
“We’re making AI real by improving the physician experience,” said John Axerio-Cilies, chief executive officer of Arterys. “We are increasing diagnosis, treatment accuracy, and ultimately outcomes that matter to patients and providers.”
Related Content: Columns from Morris Panner, Ambra Health CEO
This partnership brings together Arterys’ seven AI solutions that have been cleared by the U.S. Food & Drug Administration, including Cardio AI, Lung AI, and Neuro AI, with Ambra’s interoperable, customizable cloud platform that consolidates multiple imaging systems that allows for secure access to imaging data anywhere, anytime.
Bringing together Arterys’ AI applications and Ambra’s platform opens the door for improved research and development, as well as patient care, said Ambra officials.
“Arterys has demonstrated that AI has rapidly moved from theory to practice. But, in order for AI programs to be effective, imaging data can’t operate in silos or disparate systems,” said Andrew Duckworth, Ambra Health vice president of business development. “By partnering with Arterys, we’re making it seamless for physicians to layer on innovative AI solutions to their existing Ambra cloud technology.”
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Shaping the Future of Radiology in 2025: Trends, Threats, and Opportunities
January 10th 2025How do we respond to challenges with staff recruitment, cybersecurity, and looming hospital takeovers in radiology? This author assesses key trends in radiology and offers key insights to stay competitive in the field.
Multicenter Study Shows Merits of AI-Powered Ultrasound Assessment for Detecting Ovarian Cancer
January 3rd 2025Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.