Short description:
An AI-native radiology ecosystem for India, combining Cloud PACS, RIS, teleradiology and AI reporting on one platform.
Full description:
Radiolinq is an AI-native radiology ecosystem built for Indian healthcare. It brings Cloud PACS, RIS, teleradiology and AI-assisted reporting together in one platform, so hospitals, diagnostic centres and medical colleges can run their entire imaging workflow from any browser without on-premise servers.
Cloud PACS: Secure cloud archive and zero-footprint DICOM viewer. Studies go straight from the modality to the cloud and can be read from anywhere.
RIS: Patient registration, worklists, scheduling and report management in a single workflow.
Teleradiology: A built-in marketplace that routes studies to a distributed network of remote radiologists, so facilities without in-house radiologists still get timely reports.
AI reporting: AI-assisted report generation and voice dictation that help radiologists report faster and more consistently.
Radiolinq is live in large government hospitals, including Rajiv Gandhi Government General Hospital and Stanley Medical College Hospital in Chennai, and delivers around 5,000 patient reports a day. It also runs a training and assessment platform used by radiology students and medical colleges.
Key features:
AI-assisted reporting and voice dictation
Cloud PACS with zero-footprint web DICOM viewer
Integrated RIS: worklists, scheduling, report management
Teleradiology marketplace with remote radiologist network
Digital report delivery to patients
Secure cloud archive
Training and examination platform for radiology students
