AI-Powered Medical Imaging. Cloud-Driven Performance.
SurfImaging reduces radiologists’ workload by integrating AI directly into medical imaging workflows. Our cloud-native platform ensures high-performance imaging across compute, storage, and AI services—accessible from any device, anywhere.
As medical institutions expand remote diagnostics and multi-site collaboration, they increasingly rely on cloud platforms that offer not just scalability, but a deep understanding of clinical realities. Surfimaging.ai enables seamless imaging performance across diverse infrastructures—while helping identify cloud partners who prioritize compliance, continuity, and patient-centered innovation. Through this trusted collaboration, we accelerate deployment, strengthen operational resilience, and foster long-term partnerships that benefit both care delivery and cloud ecosystems.
The founding team at SurfImaging.ai previously developed core imaging technology at Surpassing Technologies Inc., acquired by Microsoft in 2008. That milestone reflects a proven track record in technical innovation and product excellence. Today, the same team applies decades of expertise in imaging, cloud architecture, and AI innovation to advance SurfImaging.ai—delivering resilient, scalable solutions for modern healthcare.
SurfImaging will be exhibiting at RSNA 2025! Visit us at Booth #8003 in the North Hall to explore our latest innovations in AI-powered medical imaging.
Fully web-accessible and vendor-neutral. Compatible with Azure, AWS, and Google Cloud for seamless, scalable deployment.
Automated organ segmentation, abnormality detection, and disease classification built directly into the imaging workflow.
Supports radiology protocols and advanced workflows in cardiology, neurology, oncology, and other specialties.
Work securely from any device, anywhere. All computations and data remain in the cloud—no local downloads or data storage required.
Multi-modal large language models (vLLMs) enable structured reporting and clinical decision support.
SurfImaging.ai delivers, from the cloud, advanced visualization and AI-driven insights across the entire radiology workflow. Explore some of our core imaging capabilities below:
Our cloud-native architecture ensures that patient data always remains securely on the server or within the trusted cloud environment—no downloads or local copies are ever required. This zero-client design guarantees data privacy, compliance, and performance. With our patent-pending streaming and automation technology, users can access comprehensive imaging tools and AI-assisted analysis in sub-second response time—all with a single click on a secure URL.
Provides a complete anatomical overview with intuitive image manipulation, annotation, and measurement tools to support clinical evaluation and planning.
SurfImaging develops its own AI models while leveraging open-source frameworks from NVIDIA (MONAI) and Universitätsspital Basel (TotalSegmentator) to deliver advanced AI features that support clinical workflows.
High-resolution vascular visualization with automated detection of vessel lumen paths and diameters at sub-voxel precision, supporting pre-surgical planning and comprehensive vascular assessment.
Dual-structure visualization automatically distinguishes arterial and venous anatomy, enabling precise vascular assessment and planning for head-and-neck applications.
High-resolution coronary reconstruction with sub-voxel precision, including the right posterior descending artery (R-PDA), supporting comprehensive cardiac assessment and interventional planning.
AI-assisted detection and 3D localization of lung nodules with volumetric measurement, supporting early detection and cancer screening workflows.
Experience the next evolution of radiology collaboration. Our cloud-based viewer lets radiologists, clinicians, and patients explore the same medical images live and in sync — seamlessly across PCs, tablets, and phones.
No screen sharing. No lag. No setup. Every participant can interact directly — pan, zoom, measure, and annotate — seeing each other’s actions instantly.
Beyond image sharing, teams can collaborate on advanced visualization and AI-powered analysis, working together within the same secure, intelligent workspace.
This transforms multidisciplinary reviews, remote consultations, and patient discussions — streamlining decisions, improving diagnostic accuracy, and eliminating the workflow friction of traditional image-sharing systems.
Smarter teamwork. Faster insights. Better care.
Demonstration: real-time collaboration between clinician (tablet) and radiologist (PC)
Explore how SurfImaging’s AI automation prepares studies in advance, synchronizes collaboration, and reduces manual setup — enabling faster, clearer, and more confident clinical decision-making.
The system automatically detects coronary centerlines, segments key vessels, and prepares CPR, MPR, and 3D views for immediate review — no manual setup required.
AI detects, measures, characterizes, and tracks pulmonary nodules. Radiologists, oncologists, and patients can join the same review session — remotely and in sync.
A curated CT case with organ and structure segmentation allows trainees to interactively explore anatomy in 3D and MPR — guided live by a radiologist or instructor.