VIRad.AI Launches Clinical Decision Support Platform for Interventional Radiology

April 17, 2026—VIRad.AI announced the launch of its artificial intelligence (AI)–powered clinical decision support platform, designed specifically for interventional radiology.

According to the company’s press release, VIRad.AI is intended to deliver the subspecialty depth for which general-purpose AI is not built. The platform was created by Founder Syed Aziz Rahman, MD, a practicing, board-certified diagnostic and interventional radiologist.

“Interventional radiology is its own hyperspecialized discipline with procedures, devices, and evidence that general medical AI often treats as a footnote,” commented Dr. Rahman in the company’s press release. “We built VIRad.AI ground up from an interventional radiology–centric lens, grounded in the literature interventional radiologists actually cite, organized around the decisions interventional radiologists actually make. This is clinical decision support, built by interventional radiologists for interventional radiologists.”

The company stated that the VIRad.AI platform is designed for the procedures, devices, and evidence that interventional radiologists use every day. Each clinical response is grounded in a curated index of interventional radiology–specific peer-reviewed literature, with verifiable citations. The platform includes an interventional radiology–focused question bank, procedure reference library, and growing device catalog.

VIRad.AI is supported by a team of practicing, board-certified interventional radiologists who continuously review and improve the platform’s clinical content with a team of AI engineers focused on query understanding and response quality. The tool is meant for clinical reference and is not meant to replace or override physician judgment, advised the company.