Avicenna.AI Gains MDR Certification for Medical Imaging AI Portfolio

Avicenna.AI has received a Medical Device Regulation (MDR) certificate for five of its algorithms from certification body BSI Medical Devices. This means the company’s product portfolio is fully compliant with the European Union’s MDR 2017/745, which is now mandatory for medical device companies that want to provide their solutions in Europe.

 

“Obtaining MDR certification is a significant milestone for Avicenna.AI. It demonstrates our commitment to meeting the highest standards of medical device safety and performance. This certification not only reinforces our dedication to compliance but also assures our customers of the quality and reliability of our AI product portfolio,” said Stéphane Berger, Regulatory Manager at Avicenna.AI.

 

The company’s MDR-certified AI tools include algorithms for intracranial hemorrhage (CINA-ICH), large vessel occlusion (CINA-LVO), quantification of stroke severity (CINA-ASPECTS), aortic dissection (CINA-AD), pulmonary embolism (CINA-PE), and opportunistic cases of pulmonary embolism (CINA-iPE). All the products are also CE-marked and FDA-cleared. 

 

All of Avicenna.AI’s AI tools are seamlessly integrated into radiologists’ clinical workflow, automatically triggering and reporting algorithm results through the systems already used by radiologists. 

 

“Crucially, despite the differences in SaMD regulatory requirements between authorities in the US and Europe, we are consistently achieving both FDA and CE mark clearance for our AI products,” Berger added. 

 

The MDR was introduced to update the EU’s regulations for medical devices, addressing safety issues and the recent emergence of AI tools and software as a medical device (SaMD), which did not exist when the old regulations were created.

 

Compared to the previous Medical Device Directive (MDD), the MDR has a wider scope and more stringent requirements. It emphasizes clinical evaluation, post-market surveillance, device traceability, rigorous technical documentation, and risk management. These measures aim to enhance patient safety and ensure high standards for medical devices, including AI and software-based solutions.