Viz.ai Launches Viz Assist: The First Multimodal AI Agent Platform for Faster Treatment and Better Outcomes

Autonomous AI agents that combine imaging and EHR data to identify critical patients, surface real-time insights, and act as a clinical co-pilot for care teams

SAN FRANCISCO--(BUSINESS WIRE)--Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced the launch of Viz Assist™, a suite of autonomous AI agents that significantly enhance how care teams identify, prioritize, and act on critical patient data.¹ Viz Assist marks a major step forward in Viz.ai’s mission to use technology to reduce time to treatment and improve patient outcomes.

Viz Assist incorporates inputs from ambient listening and the electronic health record (EHR) to create a generative AI summary of the patient, combining this with Viz.ai’s FDA-cleared imaging AI algorithms to provide a near complete picture of the patient. Acting as virtual team members, Viz Assist AI agents can then deliver the right clinical insights at the right time, enabling faster interventions, more coordinated care, and better outcomes.² With Viz Assist, hospitals and health systems can move beyond manual mining of EHR data, static tools and reactive alerts, and instead benefit from intelligent agents that constantly scan for clinical signals, reduce cognitive burden,¹ and help clinicians focus on what matters most: the patient. Importantly, Viz Assist aims to streamline clinical documentation and, over time, expand to delivering coding recommendations powered by multimodal data—integrating imaging, ambient listening, and EHR insights. With Viz.ai, more patients get treated, doctors have a lower administrative burden and administrators benefit from more complete documentation² leading to appropriate reimbursement and operational efficiency for health systems.

“Viz Assist brings us closer to the future of care we’ve always envisioned—one where AI works alongside clinicians, not in place of them,” said Andrew M. Ibrahim, MD, MSc, Chief Clinical Officer at Viz.ai. “These agents don’t just detect problems, they also anticipate needs, curate the essential details, and help care teams act faster and with greater confidence.³ It’s like having a trusted clinical teammate who never sleeps. I am confident this will help bring joy back to medicine.”

Viz Assist enables care teams to act faster by identifying high-risk patients, pulling key details from the EHR, surfacing relevant imaging, and delivering prioritized insights to the appropriate clinicians. Designed to function across multiple hospitals and EHR systems, the agents provide real-time updates to clinical team members wherever they are. This consolidated view helps reduce the need to manually gather information from disparate platforms, easing cognitive burden and supporting faster, more confident decision-making. The agents operate in the background and are designed to complement, not replace, clinical expertise—offering trusted, guideline-based recommendations.

“Viz Assist represents a remarkable step forward in healthcare," said Peter Kan, MD, chair of the Department of Neurosurgery at the University of Texas Medical Branch. “This platform does far more than simply send alerts—it works seamlessly in the background to identify critical patients, automates clinical documentation which saves us time, delivers the most relevant information in real time, and coordinates action across the entire care team. In many ways, it has the potential to function like an added expert on staff — one that’s available 24/7.”

To learn more about Viz Assist, watch the demo video and please visit viz.ai/viz-assist.

¹ Baker C, Taussky P, et al. How an Artificial Intelligence Application Is Changing Communication in Acute Stroke Intervention. Journal of Neurosurgery. 2023;139(3):912–920. doi:10.3171/2022.11.JNS221259

² Hassan AE, Ringheanu VM, Preston L, et al. Artificial Intelligence–Parallel Stroke Workflow Tool Improves Reperfusion Rates and Door-In to Puncture Interval. Stroke: Vascular and Interventional Neurology. 2022;2:e000224. doi:10.1161/SVIN.121.000224

³ Elijovich L, et al. Automated Emergent Large Vessel Occlusion Detection by Artificial Intelligence Improves Stroke Workflow in a Hub-and-Spoke Stroke System of Care. J NeuroInterv Surg. 2021;13(10):911-916. doi:10.1136/neurintsurg-2021-017714

About Viz.ai

Viz.ai is the leader in AI-powered care coordination and clinical workflow solutions, deployed in over 1,800 hospitals across the U.S and trusted by most of the top life sciences companies. Its platform uses artificial intelligence to detect diseases earlier, synchronize care teams, and ensure patients get to the right treatment faster. Viz.ai was the first company awarded CMS reimbursement for AI and ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey, setting the standard for innovation in healthcare. For more information visit Viz.ai.

Statements regarding future product features or availability are forward-looking and subject to change.