Ratings and Reviews 2 Ratings

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TeleRay Reviews & Ratings
    6 Ratings
    Company Website
  • PostScan Mail Reviews & Ratings
    137 Ratings
    Company Website
  • MobiPDF Reviews & Ratings
    8,085 Ratings
    Company Website
  • BranditScan Reviews & Ratings
    69 Ratings
    Company Website
  • PackageX Workflows Reviews & Ratings
    187 Ratings
    Company Website
  • RXNT Reviews & Ratings
    552 Ratings
    Company Website
  • ShareMyToolbox Reviews & Ratings
    41 Ratings
    Company Website
  • XpertCoding Reviews & Ratings
    42 Ratings
    Company Website
  • Maintainly Reviews & Ratings
    73 Ratings
    Company Website
  • Aikido Security Reviews & Ratings
    364 Ratings
    Company Website

What is ReadYourLab?

ReadYourLab offers a complimentary DICOM viewer that adeptly manages raw CT and MRI scan files with remarkable efficiency. Leveraging AI-enhanced features, it quickly assesses these scans and demystifies medical terminology for users. Users have the opportunity to ask questions about their scans, and ReadYourLab endeavors to provide insights that deepen their understanding of health matters while preparing them with pertinent queries for their healthcare professionals. The analysis of CT and MRI scans is performed by MedGemma 1.5, an innovative medical AI system created by Google Research, which incorporates 4 billion parameters and is founded on the Gemma 3 architecture. This sophisticated technology employs a medically-optimized vision encoder called MedSigLIP, trained on anonymized medical imaging datasets, which carefully scrutinizes each scan slice in a detailed 3D format, mirroring the meticulous methods of radiologists. Key features include the capability for comprehensive 3D volumetric analysis of DICOM series across both CT and MRI modalities. Furthermore, it adeptly interprets a variety of MRI sequences such as T1, T2, FLAIR, DWI, and enhanced contrast images. The training of MedGemma involved a wide array of medical imaging datasets like MIMIC-CXR and ChestImaGenome, reinforcing its proficiency in understanding intricate medical visuals. Additionally, with a context window of 128K tokens, it effectively manages the processing of extensive scan series, ensuring no detail is overlooked in the evaluation.

What is Gemma?

Gemma encompasses a series of innovative, lightweight open models inspired by the foundational research and technology that drive the Gemini models. Developed by Google DeepMind in collaboration with various teams at Google, the term "gemma" derives from Latin, meaning "precious stone." Alongside the release of our model weights, we are also providing resources designed to foster developer creativity, promote collaboration, and uphold ethical standards in the use of Gemma models. Sharing essential technical and infrastructural components with Gemini, our leading AI model available today, the 2B and 7B versions of Gemma demonstrate exceptional performance in their weight classes relative to other open models. Notably, these models are capable of running seamlessly on a developer's laptop or desktop, showcasing their adaptability. Moreover, Gemma has proven to not only surpass much larger models on key performance benchmarks but also adhere to our rigorous standards for producing safe and responsible outputs, thereby serving as an invaluable tool for developers seeking to leverage advanced AI capabilities. As such, Gemma represents a significant advancement in accessible AI technology.

Media

Media

Integrations Supported

Integrations Supported

Androidfy
Atomic Chat
C++
Cake AI
CodeMender
Elixir
Gemini Robotics
Gemma 3n
HTML
Jan
JavaScript
NativeMind
Ollama
PaliGemma 2
Pioneer
Ruby
SQL
TensorFlow
TranslateGemma
Visual Basic

API Availability

API Availability

Pricing Information

Free
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

ReadYourLab

Date Founded

2026

Company Location

Hungary

Company Website

readyourlab.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/gemma

Categories and Features

DICOM Viewers

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

Popular Alternatives

MedGemma Reviews & Ratings

MedGemma

Google DeepMind

Popular Alternatives

Gemini Nano Reviews & Ratings

Gemini Nano

Google
tresD DICOM Reviews & Ratings

tresD DICOM

tresD Ortodoncia Digital
Gemma 2 Reviews & Ratings

Gemma 2

Google
Athena DICOM Expert Reviews & Ratings

Athena DICOM Expert

Medical Harbour
Gemma 3 Reviews & Ratings

Gemma 3

Google