Significantly improve the speed and quality of Radiology reporting by reducing unnecessary dictation, particularly for ultrasound and DEXA. Imorgon transfers modality measurements into Powerscribe/Fluency/RadAI merge fields/tokens, eliminating manual entry errors.
Imorgon's specialized services offer the following advantages:
- All measurements are always transferred (usually DICOM SR)
- Electronic worksheets capture findings and insert them into Powerscribe/Fluency/RadAI (rather than dictating from a worksheet)
- Worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc)
- Integrate into Epic or other EHRs
- Vendor neutral
- Support to ensure everything continues working
Significant improvement in the overhead of reporting with a quick ROI.
Learn more
Without context, AI Agents are unable to effectively manage your network, which is where NetBrain steps in. NetBrain offers a reliable and tested approach to Agentic NetOps, supported by an AI-driven platform that leverages network context, genuine customer experiences, and extensive knowledge of enterprise networks. By combining these elements, NetBrain ensures that your network management is both efficient and informed.
Learn more
CADDIE
CADDIE (Computer-Aided Detection for Endoscopy) is a cutting-edge AI application developed by Odin Vision, designed to improve the capabilities of endoscopists in detecting and assessing colorectal polyps during colonoscopy procedures. By leveraging the powerful cloud infrastructure from NVIDIA, CADDIE analyzes real-time video feeds from standard white-light endoscopes, providing visual cues that highlight potential polyp locations. This system categorizes polyps into adenomas and non-adenomas, aiding healthcare providers in making informed decisions about resection and histopathological analysis. In addition to polyp identification, CADDIE assesses bowel cleanliness by measuring the visible mucosa percentage and recognizes the appendiceal orifice to facilitate effective cecal intubation. Its cloud-based architecture allows for seamless software updates, removing the need for on-site technical support. Furthermore, CADDIE is designed to integrate smoothly with existing endoscopic devices and can be adopted into current clinical workflows with minimal training required, proving to be an essential asset in contemporary gastroenterology. Ultimately, this innovative technology aspires to enhance patient outcomes and improve the precision of colorectal cancer screenings, thereby addressing critical healthcare challenges.
Learn more
Lunit
Artificial intelligence is essential in the early detection of cancers, enabling timely interventions that can significantly improve survival rates. Given the complexity of cancer, each type possesses unique traits, accompanied by vast amounts of data that necessitate meticulous examination. AI's strength lies in its ability to analyze intricate information, uncovering valuable insights that bolster cancer treatment methodologies. With access to accurate and pertinent data, we can adopt a proactive approach in our fight against cancer. Through the application of AI technologies, we are on the verge of achieving remarkable progress in combating this disease. Our advanced AI systems are capable of detecting early-stage cancer with exceptional precision, boasting detection rates that range from 97% to 99%. They effectively recognize ten of the most common abnormalities in chest x-rays, thereby improving one of the primary diagnostic tools used in medicine. This groundbreaking advancement not only optimizes the radiology process but also reduces the burden on radiologists. Lunit INSIGHT CXR successfully captures a comprehensive array of findings, equipping us to confront the obstacles associated with cancer detection and treatment head-on. As we look ahead, the integration of AI into cancer care heralds a future filled with hope and innovative solutions. The continuous evolution of these technologies promises to redefine our approach to healthcare and improve patient outcomes significantly.
Learn more
