Epsilon3 is the leading AI-powered procedure and resource management tool designed for teams building, testing, and operating advanced products and systems.
✔ Save Time & Money
Avoid costly delays, mistakes, and inefficiencies by automatically tracking procedures and resources.
✔ Prevent Failures
Ensure the right step is completed at the right time with conditional logic and built-in revision control.
✔ Optimize Collaboration
Real-time progress updates and role-based sign-offs keep your stakeholders on the same page.
✔ Continuously Improve
Advanced data analytics and automated reporting enable rapid iteration and data-driven decisions.
Epsilon3 is trusted by industry leaders like NASA, Blue Origin, Firefly Aerospace, Sierra Space, Redwire, Shift4, AeroVironment, Commonwealth Fusion Systems, and other commercial and government organizations.
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Improve radiology reporting efficiency and report quality with Imorgon's reporting automation.
As the top DICOM SR software for radiology, our solution significantly reduces unnecessary dictation by precisely transferring ultrasound and DEXA modality measurements into Powerscribe, Fluency, or RadAI. This eliminates manual errors and significantly accelerates the generation of reports.
Imorgon's unique advantages include:
- guaranteed transfer of all measurements - usually DICOM SR
- electronic worksheets for direct report population (eliminating dictation from notes)
- worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc)
- integration with Epic and other EHRs.
- vendor-neutral
Our dedicated support team ensures uninterrupted workflow.
Invest in Imorgon for a quick and substantial return on investment, transforming your reporting overhead into a streamlined, high-quality operation.
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3D-DOCTOR
3D-DOCTOR is a sophisticated software solution designed for 3D modeling, image processing, and measurement across various imaging modalities, including MRI, CT, PET, and microscopy, as well as scientific and industrial applications. It accommodates both grayscale and color images in multiple formats such as DICOM, TIFF, Interfile, GIF, JPEG, PNG, BMP, PGM, MRC, RAW, and more. This powerful software generates 3D surface models and performs volume rendering from 2D cross-sectional images in real-time on your computer. Users can export polygonal mesh models in various formats, including STL, DXF, IGES, 3DS, OBJ, VRML, PLY, and XYZ, making it suitable for applications like surgical planning, simulation, quantitative analysis, finite element analysis, and rapid prototyping. In addition, it allows for 3D volume calculations and other measurements crucial for quantitative insights. The vector-based tools enhance the ease of handling image data, facilitating measurement and analysis efficiently. Moreover, 3D CT and MRI images can be re-sliced along any chosen axis, and it is capable of registering multi-modality images to produce comprehensive image fusions, ensuring a versatile approach to imaging challenges.
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Elements Spine SRS
Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) represents a cutting-edge software solution aimed at refining the management of spinal metastases. This innovative workflow features automation at each phase, encompassing anatomical mapping, curvature adjustments, and target identification, which guarantees precision and uniformity down to submillimetric levels. A distinctive algorithm addresses variations in spinal curvature, thereby improving the accuracy of image fusion. The software employs automatic segmentation of spinal anatomy through a patented synthetic tissue model that effectively identifies and labels different spine levels for accurate dose calculations. Tools for outlining spinal tumors are included for Gross Tumor Volume (GTV) contouring, along with automatic suggestions for the Clinical Target Volume (CTV) and a cropped spinal canal object in alignment with International Spine Consortium Guidelines. Furthermore, the integration of AI-driven contouring solutions allows for the swift and dependable delineation of over 200 structures, including lymph nodes. This advancement not only streamlines the treatment process but also enhances overall patient outcomes in spinal cancer management.
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