contextflow collaborates with VUNO and Mesalvo to advance cardiac arrest prediction solution

contextflow has partnered with Korean imaging AI firm VUNO and German HIS provider Mesalvo to accelerate the launch of VUNO’s AI-based cardiac arrest prediction solution, VUNO Med–DeepCARS, in Europe.

The signing took place on Monday (local time) at the 38th Annual Congress of the European Society of Intensive Care Medicine (ESICM LIVES 2025) in Munich, Germany. The event ran from Sunday to Wednesday. Under the MOU, the three companies will jointly pursue system integration, clinical validation, and reimbursement pathways to help DeepCARS adoption in European hospitals.

contextflow will use its experience with reimbursement listing for imaging AI technologies in Europe to support DeepCARS’ regulatory and reimbursement strategy. Mesalvo supplies hospital information systems across Germany and other European countries. It plans to integrate DeepCARS with its electronic medical record and data platforms. Through this partnership, VUNO will gain access to over 900 hospitals in the region.

The three companies also plan to collaborate on real-world implementation projects at European medical institutions and to promote joint activities to help establish DeepCARS as a trusted solution for early prediction of patient deterioration.

Under the slogan “Predict Early, Prevent More,” VUNO highlighted the solution’s superior predictive power and real-world impact at recent events like ESCIM. It compared DeepCARS with conventional early warning systems, attracting strong interest from critical care experts across Europe.

“The strategic partnership with contextflow and Mesalvo marks the beginning of DeepCARS’ full-scale expansion into Europe,” VUNO CEO Lee Ye-ha said. “By working closely with trusted local partners, we aim to establish a global standard for AI-powered patient care. European hospitals and clinicians can rely on this,” Lee added.

VUNO also participated in the European Resuscitation Council Annual Congress (Resuscitation 2025), where it explored DeepCARS’ potential applications in emergency medicine. The company said it plans to expand the solution’s use beyond critical care to broader emergency medical settings worldwide.

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