Fluency for Imaging vs. Elucis

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.

Realize Medical's Elucis is an FDA-approved extended reality platform designed to enhance image segmentation, facilitate collaboration among dispersed teams, and enable procedural planning within a virtual reality environment. Capable of managing an unlimited array of 3D and 4D CT and MR images, Elucis ensures comprehensive project integration. It features state-of-the-art image processing tools that include both manual and automatic registration, along with the ability to visualize images in 2D, 3D, and 4D formats. The platform’s segmentation capabilities are crafted for both efficiency and ease of use, allowing for accurate measurement, cutting, and planning tasks to be performed directly in a virtual setting. Moreover, Elucis offers sophisticated 4D modeling functionalities that allow for detailed segmentation of cardiac structures in just minutes, irrespective of the phase. Users can import 3D structure files from external sources and conveniently export their projects with a single click. In addition, the platform fosters collaboration by enabling multiple users to connect effortlessly with local or remote colleagues throughout the entire process, making it an invaluable resource for healthcare professionals. This collaborative feature not only enhances communication but also ensures that every participant can make meaningful contributions to the project, ultimately improving outcomes in medical practice.