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What is SoftDicom?

SoftDicom — A Compact Solution for DICOM Viewing and PACS Management. This flexible DICOM viewer and PACS can run straight from your SSD, removing the necessity for installation, Java, or root access. With SoftDicom, users can easily view their medical imaging studies by simply plugging the SSD into any Windows, macOS, or Ubuntu machine, granting instant access to their data. The absence of installation requirements, Java dependencies, or administrative rights makes it an ideal option for those using borrowed or restricted devices where software installation is not an option. Fully adhering to DICOM Parts 3, 4, 6, 10, and 14, the software accommodates a range of compression formats such as JPEG 2000, JPEG Lossless, RLE, and JPEG Baseline. It also works seamlessly with various imaging modalities including CT, MRI, X-Ray, Ultrasound, Mammography, PET/CT, SPECT, and Cath-Lab studies, offering extensive functionality. In addition to DICOM files, SoftDicom supports opening multiple file formats like JPEG, PNG, TIFF, BMP, and NIfTI, making it an exceptionally versatile tool for diverse imaging requirements. This adaptability ensures that users can handle a wide array of imaging tasks without being hindered by software limitations.

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.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$799–999 one-time purchase
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

JVS Technologies Private Limited

Date Founded

2004

Company Location

India

Company Website

www.SoftDicom.com

Company Facts

Organization Name

ReadYourLab

Date Founded

2026

Company Location

Hungary

Company Website

readyourlab.com

Categories and 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

Categories and Features

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