Avicenna.AI Unveils AVI Platform to Deliver AI Imaging Insights Seamlessly Across Healthcare Workflows

Medical imaging AI developer Avicenna.AI has officially launched AVI, a new integration platform designed to bring AI-powered diagnostic insights directly into healthcare systems with zero disruption to clinical workflows. Engineered for speed, simplicity, and scalability, AVI provides healthcare providers with plug-and-play access to imaging AI tools—while keeping radiologists and clinicians entirely within their existing environments.

Unlike traditional AI platforms that require separate viewers or new user interfaces, AVI integrates natively with PACS, RIS, and other core hospital systems, requiring no additional clicks, training, or workflow changes. For clinical teams, this means AI insights appear automatically within their usual diagnostic tools. For IT departments, centralized configuration and orchestration streamline deployment and management. And for healthcare administrators, the system reduces overall cost of ownership by minimizing maintenance demands and eliminating redundant software layers.

"AVI is what AI was always meant to be—fast, frictionless, and fully embedded," said Cyril Di Grandi, co-founder and CEO of Avicenna.AI. "By removing the need for separate applications and user interfaces, AVI clears the path for AI adoption at scale—without disrupting the people or processes that deliver care every day."

The platform debuts with full access to Avicenna’s FDA-cleared CINA portfolio, offering automated detection and triage for a range of critical pathologies including intracranial hemorrhage (CINA-ICH), large vessel occlusion (CINA-LVO), aortic dissection (CINA-AD), pulmonary embolism (CINA-PE and CINA-iPE), cervical spine fractures (CINA-CSpine), and vertebral compression fractures (CINA-VCF and Quantix), along with ASPECT scoring for stroke assessment.

Designed for flexibility, AVI can be deployed across a single site or scaled to support complex hospital networks and teleradiology providers. Its standards-based architecture ensures compatibility with healthcare data protocols like DICOM, HL7, and FHIR, enabling smooth integration with legacy and next-generation systems alike.

Security and privacy are foundational to AVI’s architecture. All data is de-identified before processing and re-identified on return, while encryption, access control, and audit trails ensure compliance with GDPR, HIPAA, and other regulatory frameworks.

With AVI, Avicenna.AI is setting a new benchmark for AI deployment in clinical practice—delivering actionable imaging intelligence with minimal operational friction and maximum clinical impact.