Viz.ai One - 2026 Pricing, Features, Reviews & Alternatives

Viz.ai One is an AI-powered care coordination platform designed to support the delivery of patient care across multiple clinical specialties and healthcare settings. The platform serves as a comprehensive enterprise solution that enables healthcare organizations and multidisciplinary care teams to detect suspected diseases, coordinate treatment pathways, and deliver timely interventions across the patient care continuum. The system operates in neurological, cardiology, vascular, trauma, radiology, pulmonary, and oncology disciplines to support complex patient populations. Deployment across one thousand eight hundred hospitals illustrates the system’s capacity to address challenges related to timely specialist care before conditions reach critical stages.

The platform includes multiple specialized suites that provide disease-specific functionality. The Neuro Suite accelerates detection and treatment for suspected neurological conditions including large vessel occlusion, cerebral aneurysm, hemorrhage, subdural hematoma, and post-acute stroke with CT perfusion and hyperdensity measurement capabilities. The Cardio Suite supports identification of hypertrophic cardiomyopathy, acute coronary syndrome, cardiac amyloidosis, and post-acute stroke conditions. The Vascular Suite focuses on aortic disease and pulmonary embolism detection. Additional offerings comprise the Trauma Suite for trauma center workflows, the Radiology Suite for diagnostic imaging acceleration, the Pulmonary Suite for pulmonary care delivery, and the Oncology Suite for cancer care coordination. A proprietary communication and workflow tool unites multidisciplinary specialists to direct patients to faster follow-up and prevent loss to follow-up. An integrated workflow assistant embeds within clinical processes to guide care teams through each step.

The system generates real-time AI-powered alerts by auto-detecting suspected diseases within imaging studies and notifying relevant care team members within seconds of detection. The platform operates across mobile and desktop environments as well as within radiology workflows, with alerts embedded directly into radiologist worklists and back-to-PACS functionality for reference and documentation. Integration with existing electronic health record systems and picture archiving and communication systems ensures interoperability within established infrastructure. Collaboration with Microsoft Cloud for Healthcare and a diagnostic imaging network grants access to a comprehensive collection of AI models for clinical use.

Implementation services and dedicated twenty-four seven on-call specialists support deployment and ongoing operations. The system’s clinical validation is documented in more than one hundred publications and abstracts, providing real-world evidence of its effectiveness in optimizing healthcare delivery. Mobile applications for iOS and Android devices enable care team members to receive alerts and coordinate patient care regardless of location. Comprehensive training resources are available through an academy platform, and customer support is accessible via a help center, resource portal, and regionally specific user guides.