Aidoc unveils first-of-its kind operating system for using AI across vendors, subspecialties

Artificial intelligence specialist Aidoc has unveiled a new operating system that allows healthcare organizations to use multiple AI tools from various vendors under one unified system.

Aidoc, headquartered in New York and Tel Aviv, Israel, said its vendor-agnostic solution is the first OS of its kind for radiology providers, according to news shared Wednesday. The marketplace houses FDA-cleared algorithms from five companies along with seven developed by Aidoc.

Well-known enterprise imaging expert Paul Chang, MD, commented on the platform, noting the system is more than a traditional app store.

“A true platform must be based on a unified architecture that enables effective use of the various AI products in the challenging real-life IT settings of health systems,” Chang, vice chair of Radiology Informatics at the University of Chicago, added. “In other words, what's so compelling about the app store isn't the app store itself, but actually the infrastructure it's built upon—the iOS. That is exactly what Aidoc's AI OS solves for.”

The system analyzes images and automatically matches the most compatible algorithm with each exam. Currently available solutions address intracranial hemorrhages, rib fractures, pulmonary embolisms, large vessel occlusions and more from vendors such as Subtle Medical, Imbio, Riverain and others.

Aidoc says its healthcare AI platform is currently used by nearly 5,000 radiologists worldwide to assess some 10.3 million scans.

“While overcoming the internal challenges with our own algorithms, we were forced to develop an AI operating system that can run effectively in any clinical setting and we did so with one question in mind, ‘how do we bring value to the providers?’ Michael Braginsky, chief technology officer of Aidoc, said Wednesday. “I’m thrilled to say that more and more companies who’ve developed amazing solutions are operating on our OS, and we are proud to enable them to greatly impact patient care.” 

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Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing and visualization, robotics and other innovative technologies changing healthcare delivery.

Radiology being the medical specialty furthest along with AI, the technology will take the spotlight at sessions, in exhibits and on a pavilion reserved for healthcare AI vendors.

The study, published in JACC: Vascular Interventions, examined 619 patients who underwent PCI for LM CAD.

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