TLDR: Viz.ai has introduced Viz Assist, an autonomous AI agent platform designed to transform healthcare by accelerating treatment and improving patient outcomes. It integrates ambient listening, electronic health record (EHR) data, and FDA-cleared imaging AI algorithms to create comprehensive patient summaries and deliver real-time clinical insights. The platform aims to reduce cognitive burden on clinicians, streamline documentation, and enhance care coordination across hospitals.
Viz.ai, a prominent leader in AI-powered disease detection and intelligent care coordination, announced the official launch of Viz Assist on October 20, 2025. This groundbreaking platform introduces a suite of autonomous AI agents meticulously designed to significantly enhance how healthcare teams identify, prioritize, and act upon critical patient data. The introduction of Viz Assist marks a pivotal advancement in Viz.ai’s overarching mission to harness technology for the dual goals of reducing time to treatment and substantially improving patient outcomes.
At the core of Viz Assist’s innovation are its multimodal artificial intelligence capabilities. The platform is engineered to process diverse inputs, including ambient listening during patient-clinician interactions and comprehensive data from electronic health records (EHR). These inputs are synthesized to generate a holistic, generative AI summary of each patient. This intelligent summary is then seamlessly integrated with Viz.ai’s existing portfolio of FDA-cleared imaging AI algorithms, which analyze data from sources such as CT scans, EKGs, and echocardiograms. The result is a near-complete and nuanced picture of the patient’s condition, enabling more informed and timely clinical decisions.
Viz Assist functions as a team of “virtual team members,” delivering precise and actionable clinical insights at critical junctures. This capability is expected to facilitate faster interventions, foster more coordinated care strategies, and ultimately lead to superior patient outcomes. The platform aims to liberate hospitals and health systems from the inefficiencies of manual data mining, static tools, and reactive alerts. Instead, intelligent agents continuously scan for subtle clinical signals, thereby significantly reducing the cognitive burden on clinicians and allowing them to dedicate more focus to direct patient care.
A key objective of Viz Assist is to streamline clinical documentation, a notoriously time-consuming aspect of healthcare. The platform is designed to evolve, with future capabilities expected to include automated coding recommendations, further integrating insights derived from imaging, ambient listening, and EHR data. This comprehensive approach to documentation is anticipated to result in more accurate and complete records, which can translate into appropriate reimbursement for services and enhanced operational efficiency for healthcare systems.
By rapidly identifying high-risk patients, extracting crucial details from EHRs, highlighting relevant imaging findings, and delivering prioritized insights directly to the appropriate clinicians, Viz Assist empowers care teams to make faster and more confident decisions. It offers a consolidated view of patient information, drastically reducing the need for manual data aggregation from disparate platforms. Crucially, these AI agents operate in the background, serving to complement, rather than replace, human clinical expertise by offering trusted, guideline-based recommendations.
Andrew M. Ibrahim, MD, MSc, Chief Clinical Officer at Viz.ai, articulated the company’s vision: “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. 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. It’s like having a trusted clinical teammate who never sleeps. I am confident this will help bring joy back to medicine.”
Echoing this sentiment, Peter Kan, MD, Chair of the Department of Neurosurgery at the University of Texas Medical Branch, commented, “Viz Assist represents a remarkable step forward in healthcare. 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.”
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Viz.ai is recognized as a leader in AI-powered care coordination and clinical workflow solutions, with its technology currently deployed in over 1,800 hospitals across the U.S. and trusted by most of the top life sciences companies. The company’s platform leverages more than 50 FDA-cleared AI algorithms to facilitate earlier disease detection, synchronize care teams, and accelerate patient access to critical treatments. Notably, Viz.ai was the first company to be awarded CMS reimbursement for AI-driven solutions and has been ranked as the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey, underscoring its commitment to innovation in healthcare.
