Synapse Mobility (Global)
FUJIFILM Healthcare Americas CorpApp info
- Installs
- 100,000+
- Category
- Medical
- Content rating
- Everyone
- Version
- 9.1.0
- Released
- Jun 4, 2012
- Last updated
- 8 Jan 2026
- In-app purchases
- No
- Contains ads
- No
- Promo video
- No
- Requires Android
- 12
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What's newin version 9.1.0
Synapse Mobility Enterprise Viewer Version 9.1 feature rich DICOM and Non-DICOM image and report viewer. Synapse Mobility Enterprise Viewer utilizes the latest server-side rendering technology to stream imaging securely and fast to any authorized user on their Android mobile devices. Users are provided new features: advanced viewing tools for Timeline View, Patient Banner, Role Based Timeout, ECG Measurements (QT, HR and Amplitude), Biometric Authentication, POC Ultrasound, Endoscopy and more.
About this app
Synapse™ Mobility provides access to Synapse products using mobile devices.
Read full description
Synapse™ Mobility Enterprise Viewer Version 9.0.0 provides access to FUJIFILM's Synapse product suite using hand-held mobile devices, providing Radiologists and Physicians with on-the-go access to the images and information stored within FUJIFILM systems. The Synapse Mobility application provides interactive three-dimensional images for iPhone® and iPad® allowing images to be manipulated using the 2D, 3D, and MIP/MPR feature sets within the app. Synapse Mobility Version 9.0.0 (Android Client Version 9.0.0) What's New: Multi-Threaded Loading Downloading studies functionality (DICOM only integrations) Synapse VNA Integration - ability to search key/value attribute pairs Synapse VNA Integration - ability to search by department Synapse VNA Integration - ability to toggle between VNA attribute and Modality Search Custom Folders Frame level, playback speed and volume controls for non-DICOM videos New Reports Interface for access to CCU usage analytics Support for US date format (MM/DD/YYYY) Support for URL launch into multiple studies UI Buttons for Switching MIP/MPR Rendering Mode Support Cobb Angle with RF datasets