RIS/PACS platform with AI-assisted medical imaging and teleradiology
IKnowHealth builds Evorad, a browser-based RIS/PACS platform for hospital imaging workflows, with embedded AI analysis and teleradiology. The stack is a mix of classical JVM/Spring ecosystem (Java, Spring Boot, Jakarta EE) paired with Python/TensorFlow for imaging algorithms and Azure cloud infrastructure—typical of a healthcare AI vendor scaling from on-premise to cloud. Active projects show heavy focus on public-sector deployments and image quantification (CT/MRI), while pain points flag international expansion and compliance as near-term friction.
IKnowHealth develops Evorad, a unified radiology information and picture archiving system (RIS/PACS) for hospitals and healthcare networks. The platform centralizes medical imaging, AI-assisted analysis, and remote reading workflows in a browser-accessible interface. The company operates across three domains: imaging technology (advanced PACS), diagnostic AI (quantification tools for CT/MRI), and blood-bank management. Founded in 2023 and based in Greece, the company is hired regionally and pursues public-sector and network-wide implementations. Current challenges center on scaling high-availability deployments across borders while meeting healthcare compliance and strict project timelines.
Java, Spring Boot, Python, TensorFlow, Keras, Docker, Kubernetes, Oracle, MySQL, Azure cloud services (AKS, Blob Storage, DevOps), and infrastructure-as-code tools (Terraform, Bicep).
Evorad is IKnowHealth's browser-based RIS/PACS platform that unifies medical imaging, AI-assisted image analysis, and teleradiology in a single system for hospitals and healthcare networks.
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