
TeleRay stands out as the pioneering telehealth and image management solution in the industry. This cloud-based platform enables users to safely exchange medical images with a variety of professionals, including specialists, clinicians, and referring doctors, as well as with patients. Its robust feature set allows for the importation and conversion of both DICOM and non-DICOM images, along with providing query capability and HL7 connectivity. Additionally, it seamlessly integrates with any electronic medical record (EMR) system, and users can access images via an FDA-approved viewer on any device, regardless of location.
The platform offers comprehensive DICOM image migration services, which encompass setup, training, and implementation support. Options for live streaming and remote control of imaging modalities are also available, allowing professionals to effectively collaborate from virtually anywhere.
TeleRay prioritizes security with peer-to-peer health and data communication, and its application includes useful workflow tools such as waiting rooms, multi-call capabilities, call transfers, and image sharing, making it user-friendly and budget-conscious.
Currently, over 3,000 locations utilize our services, including 38 leading medical centers across more than 20 countries, demonstrating our extensive reach and reliability. Discover the benefits of TeleRay by signing up for a free trial today.
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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.
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CADU
CADU, an AI-driven cloud solution developed by Odin Vision, assists in the detection and analysis of dysplasia in patients with Barrett’s oesophagus during gastroscopy procedures. The platform assesses regions that visually mimic Barrett's oesophagus, providing valuable insights to help healthcare professionals discern between dysplastic and non-dysplastic tissues. By streamlining the decision-making process for endoscopists and enhancing the efficiency of oesophageal examinations, CADU is both time-saving and cost-effective. Moreover, its vendor-neutral design allows for compatibility with a variety of endoscopic devices. The system is CE marked and has received UKCA approval, although it is not currently available for commercial distribution in the United States. CADU is already in use at clinical institutions such as University College London Hospitals, where it aims to improve the early detection of oesophageal cancer, a condition that poses challenges due to the often subtle presentation of initial lesions. Its deployment marks a notable progression in the early identification of this critical health issue, underscoring the transformative role of technology in contemporary healthcare practices. This innovative approach signifies a promising leap forward in combating a disease that can be lethal if not caught in its early stages.
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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.
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