DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Imorgon
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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VolView
VolView is an open-source tool designed for radiological professionals, enabling them to visualize DICOM data in three dimensions through interactive cinematic volume rendering. This application runs directly in web browsers, allowing secure data handling as files remain on the user's device without requiring installation. Supporting a convenient drag-and-drop interface for DICOM files, VolView excels in delivering high-quality and interactive 3D renderings. Users can explore various color presets, modify lighting and transparency settings, crop images, and engage with 3D data for enhanced understanding. The platform features both standard 2D and 3D controls, measurement tools, and annotation capabilities, with continual updates made in response to user suggestions. As it operates locally, VolView harnesses the processing power of the user's CPU, GPU, and disk space, avoiding reliance on external servers or cloud services. Additionally, being open-source, it remains freely available to healthcare professionals, promoting wide accessibility and collaboration in the clinical community. This empowers clinicians to utilize advanced visualization techniques in their diagnostic processes.
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Elements Cranial SRS
Brainlab's Elements Cranial Stereotactic Radiosurgery (SRS) represents a cutting-edge software tool aimed at simplifying the intricate planning involved in cranial surgeries, including procedures for arteriovenous malformations, pituitary adenomas, and vestibular schwannomas. This workflow incorporates automation throughout each phase, encompassing image fusion, distortion correction, object outlining, and segmentation, which collectively ensure remarkable accuracy and reliability at a submillimeter level. A standout feature is the patented 4Pi arc setup optimization, which, when paired with a volumetric modulated arc therapy algorithm tailored for radiosurgery, results in superior plan quality by delivering precisely targeted doses while sparing vital surrounding structures. The software further provides distinctive 3D visualizations and reliable dosimetric outputs, significantly improving the precision and efficiency of treatment planning. Moreover, Elements SmartBrush facilitates swift and straightforward 3D target outlining, enabling users to define volumes efficiently using only two slices, thus enhancing overall workflow productivity. This innovative approach not only streamlines the planning process but also enhances the accuracy of treatment delivery in complex cases.
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