Audience

Radiology professionals searching for an AI-enabled solution to improve their diagnostic workflows

About RADIOLens

Radiolens is an AI-enabled PACS radiology workflow solution that makes diagnostic workflows smoother by automatically detecting bad-quality scans and creating preliminary reports for some most common modalities. It enables clinical collaboration, provides workflow efficiency, and enables well-informed decision-making. Automated assignments for workload optimization. Get AI-enabled quantitative and qualitative actionable insights to boost your reporting speed and accuracy. Lightweight DICOM Viewer to open cases even from mobile devices. Remove on-site presence constraints with an on-cloud solution. Get real-time notifications on your device! Best accuracy, Unlimited backup, and Simple archiving of images. Get instant AI-assessed biomarkers for qualitative and quantitative descriptions such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac. Our intelligent server auto-matches templates to studies based on patient gender and modality.

Integrations

No integrations listed.

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Company Information

Synapsica
India
synapsica.com/radiolens/

Videos and Screen Captures

RADIOLens Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
In Person
Support
Phone Support
24/7 Live Support
Online

RADIOLens Frequently Asked Questions

Q: What kinds of users and organization types does RADIOLens work with?
Q: What languages does RADIOLens support in their product?
Q: What kind of support options does RADIOLens offer?
Q: What type of training does RADIOLens provide?

RADIOLens Product Features

PACS

HL7 Support
Diagnostic Reporting
Image Management
Data Compression
Non-DICOM Imaging Support
Comparison View
Referring Physician Portal
Mobile Access
Voice Recognition
Patient Portal

Radiology

Image Fusion
Scanning Input
Billing & Invoicing
EDI
EMR HL7 Bridge
Wait List Management
Patient Scheduling
Audit Trail
PACS Integration
Claims Management
Teleradiology