Canon Medical launches Alphenix / Evolve Edition angiography system in Europe


Canon Medical has introduced its Alphenix / Evolve Edition angiography system for commercial sale in the European market.

The system utilises deep learning technology in real-time, and is designed to enhance imaging while enabling reduced time and radiation dose during routine and complex percutaneous coronary intervention (PCI) and structural heart disease procedures.

The Alphenix / Evolve Edition has been launched in person during the 31st Coronary Intervention and Therapeutics (CVIT 2023) conference in Fukuoka, Japan. An online launch event will be held today, August 7, at 19:00 CEST via LinkedIn.

“Interventional cardiology departments are faced with increasing clinical demands, financial pressures, and the need for improved efficiency as the number and complexity of cases increase. To meet these challenges, we have introduced the Alphenix / Evolve Edition” says Kunitoshi Matsumoto, global general manager, Vascular Systems Division, Canon Medical.

Erwan Ladsous, european director interventional X-ray, adds: “We are very proud to bring these meaningful innovations to the market. By deploying Canon Medical’s AI expertise to the field of interventional cardiology, we have full confidence that this will offer impactful tools to physicians and, most importantly, enhance patient care.”

The Alphenix Evolve Edition delivers a range of industry-leading solutions for the interventional cardiology suite. Packaged under the αEvolve technology umbrella of AI solutions, these solutions provide real-time assistance that instantaneously support key diagnostic and therapeutic decisions without interrupting the workflow, the company says in a press release.

αEvolve imaging utilises deep learning based noise reduction and multi-frequency processing to enable clear fluoroscopic imaging, which can deliver a two times higher contrast-to-noise ratio compared to conventional image processing, the press release adds.

Dynamic Device Stabilizer (DDS) has been trained with deep learning to automatically detect balloon markers in real-time, magnifying and stabilising the image on a separate screen to assist visualisation and assessment during complex PCI procedures.


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