Aidoc, a leading Israeli provider of artificial intelligence (AI) solutions for medical imaging, announced the release of the first AI Operating System (OS) allowing for the clinical use of numerous AI applications over one unified system.
To complement its new OS, Aidoc added FDA-cleared solutions from five third-party AI companies to its existing selection of seven FDA-cleared solutions. These solutions expand its coverage across imaging subspecialties wherein the AI OS provides each sub-specialty with a seamless user experience in their native workflow.
"When people think about the concept of a platform, some think of an 'app store' for healthcare institutions to discover and plug in AI solutions," says Dr. Paul Chang, Vice-Chair of Radiology Informatics at the University of Chicago. "This sounds attractive, but merely centralizing and providing an online shopping experience isn't enough of a value proposition.
“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. 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."
Aidoc's suite of AI includes solutions for triage and detection of acute patients and AI-driven cross-specialty workflows facilitating care coordination. Along with seven FDA-cleared solutions for intracranial hemorrhage, acute C-spine fractures, intra-abdominal free gas, rib fractures, large vessel occlusions, and pulmonary embolism on both dedicated and non-dedicated (incidental) exams, the Aidoc OS platform integrates AI solutions from Imbio, Riverain, Icometrix, Subtle Medical and ScreenPoint Medical, together covering a variety of radiology subspecialties and imaging enhancements.
"We've come to understand the challenge of implementing AI, while deploying AI modules into hundreds of hospitals, for which we faced a diversity of IT systems and workflows," says Michael Braginsky, CTO of Aidoc. "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?'
"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."