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Average Ratings 2 Ratings
Description
Radiolens is an innovative PACS radiology workflow solution powered by AI that enhances diagnostic processes by automatically identifying low-quality scans and generating preliminary reports for various common modalities. This system promotes clinical collaboration and improves workflow efficiency, leading to better-informed decision-making. It features automated task assignments to optimize workload distribution and provides actionable insights that are both quantitative and qualitative, enhancing the speed and accuracy of reporting. Additionally, it includes a lightweight DICOM Viewer that allows users to access cases from mobile devices, thereby eliminating the need for on-site presence with its cloud-based solution. Users receive real-time notifications on their devices, ensuring timely updates. With top-notch accuracy, unlimited image backup, and straightforward archiving capabilities, Radiolens also delivers instant AI-evaluated biomarkers for essential qualitative and quantitative metrics such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Its intelligent server automatically matches templates to studies based on the patient's gender and the modality being used, streamlining the workflow further. This comprehensive approach not only enhances the efficiency of radiology departments but also significantly elevates the quality of patient care.
Description
ReadYourLab is a free DICOM viewer that efficiently processes raw CT and MRI scan files. With the help of AI-driven features, it swiftly analyzes the scans and clarifies medical terminology for users. You can pose questions regarding your scans, and ReadYourLab aims to provide insights that enhance your understanding of your health and equip you with inquiries for your healthcare provider.
The evaluations of your CT and MRI scans are conducted by MedGemma 1.5, a cutting-edge medical AI developed by Google Research, which boasts 4 billion parameters and is built upon the Gemma 3 framework. This advanced system utilizes a medically-tuned vision encoder, known as MedSigLIP, which has been trained on anonymized medical imaging datasets. It meticulously examines each slice of your scan in a comprehensive 3D format, emulating the thorough approach of a radiologist.
Notable features include the ability to perform full 3D volumetric analysis of DICOM series for both CT and MRI. Additionally, it proficiently interprets various MRI sequences such as T1, T2, FLAIR, DWI, and contrast-enhanced images. MedGemma's training involved extensive medical imaging datasets, including MIMIC-CXR and ChestImaGenome, ensuring a robust understanding of complex medical visuals. Moreover, it has a 128K token context window, which allows for the effective processing of large series of scans.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Synapsica
Country
India
Website
synapsica.com/radiolens/
Vendor Details
Company Name
ReadYourLab
Founded
2026
Country
Hungary
Website
readyourlab.com
Product Features
PACS
Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management