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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Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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Mednet
Mednet is an eClinical technology company that specializes in healthcare solutions for the global life science community. Mednet's flexible, EDC-centric eClinical platform increases the efficiency of clinical research of all sizes. Mednet's comprehensive solution suite provides all the tools necessary to create and manage clinical research. It can also adapt to changing demands and requirements. Mednet has been trusted by CROs in every sector of the pharmaceutical, medical device, and biotechnology industries for almost 20 years. They provide the expertise, reliability, and innovation that they need to succeed. Mednetsolutions.com has more information.
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HEKMA
HEKMA is a pioneering company utilizing artificial intelligence to enhance the efficiency of clinical trials by optimizing patient recruitment, assessing trial feasibility, and fostering patient engagement.
Their comprehensive platform caters to a diverse audience, including contract research organizations (CROs), pharmaceutical sponsors, healthcare facilities, and patients, by integrating electronic health records (EHRs) with AI-driven trial matching, clinical trial management solutions, and tools for engaging patients.
The core mission of HEKMA is to minimize delays in enrollment, broaden access to clinical trials—especially for underrepresented communities—and streamline the clinical research process to ensure it is more efficient, transparent, and centered around patient needs.
With a blend of healthcare knowledge, artificial intelligence capabilities, and clinical operations expertise, HEKMA adheres to crucial industry regulations such as HIPAA, 21 CFR Part 11, GDPR, and HL7/FHIR, ensuring the highest standards of compliance.
By harnessing innovative technology, HEKMA aims to transform the landscape of clinical trials, ultimately contributing to advancements in medical research and patient care.
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