TeleRay
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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Imorgon
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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WRDensity
WRDensity aids radiologists in assessing breast density, fostering uniformity in evaluations throughout their practices. Its main goal is to enhance early detection while ensuring that patients enjoy greater reassurance through improved consistency, confidence, and overall care quality. Created using cutting-edge deep learning methodologies, WRDensity has meticulously analyzed over 600,000 images from the renowned Mallinckrodt Institute of Radiology, which is celebrated for its groundbreaking contributions to the field. This powerful deep learning model is particularly adept at delivering accurate breast density classifications. Moreover, its batching and sorting capabilities can enhance user productivity by up to 20%. By incorporating WRDensity into the radiologist's current workstation, vital information regarding tissue density becomes easily accessible within a pertinent context, thereby further refining the diagnostic procedure. In conclusion, this advancement not only streamlines workflows but also plays a crucial role in enhancing patient outcomes, making it a valuable tool in modern radiology.
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Fluency for Imaging
Fluency for Imaging is an AI-powered radiology reporting platform developed by Jacobian to support faster, more accurate diagnostic reporting in medical imaging workflows. Radiology departments face increasing workloads and complex reporting requirements, which often lead to documentation inefficiencies and cognitive overload for clinicians. Fluency for Imaging addresses these challenges by combining advanced speech recognition technology, AI-driven automation, and structured reporting capabilities into a unified reporting environment. Radiologists can dictate reports using natural speech while the platform automatically organizes the narrative into structured clinical documentation. The system integrates directly with PACS platforms to transfer measurement data, imaging findings, and AI-generated insights directly into the report, eliminating manual transcription and reducing the potential for errors. Fluency for Imaging also incorporates large language model–based ambient reporting features that can listen to dictations, understand clinical context, and generate structured impressions automatically. Built-in guideline support and intelligent nudging help ensure reports follow established medical standards such as BI-RADS, PI-RADS, and TNM classifications. The platform also enables ontology-based coding using clinical standards including RadLex, SNOMED CT, and ICD-10, transforming unstructured text into structured, data-rich reports suitable for analytics, research, and clinical decision support. Multimedia reporting features allow radiologists to include annotated images, tables, and visual diagrams to improve report clarity for referring physicians. Additionally, Fluency for Imaging supports interoperability through standards such as HL7, FHIR, and FHIRcast, enabling seamless communication between imaging systems, hospital information systems, and analytics platforms.
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