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Tomoverse

Tomoverse provides a cloud‑based platform that securely stores and synchronizes cardiac CT scans across desktops, tablets, and smartphones, with offline access and high‑resolution 3D viewing. The system enables real‑time collaboration, annotation, and planning for cardiologists and related specialists, streamlining workflow and supporting faster clinical decisions.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Cardiac CT imaging workflows often involve fragmented data access, reliance on physical media, and limited ability to view scans on mobile devices, which can delay diagnosis and impede collaboration among clinicians.

Solution

Tomoverse delivers a cloud‑connected platform that gives clinicians secure, synchronized access to cardiac CT scans on any device, including offline mode. The system centralizes imaging data, enabling real‑time visualization, procedural planning, and team collaboration without the need for physical copies or complex setup. By streamlining data handling and providing consistent, high‑resolution views across desktops, tablets, and smartphones, Tomoverse reduces workflow friction and supports faster, more confident clinical decisions, ultimately aiming to improve patient outcomes in structural heart care.

Target Audience

Primary users are cardiologists, cardiac surgeons, interventional radiologists, and imaging specialists who require reliable access to cardiac CT data for diagnosis, procedural planning, and multidisciplinary collaboration.

Features

  • Secure, end‑to‑end encrypted storage and transmission of cardiac CT datasets
  • Automatic synchronization of scans across devices with offline caching for uninterrupted access
  • Web‑based viewer optimized for high‑resolution 3D reconstruction and measurement tools
  • Integrated collaboration suite allowing multi‑user annotation, sharing, and real‑time discussion
  • AI‑ready architecture that supports future integration of advanced analytics and decision‑support models
This profile is AI-generated and may contain inaccuracies.