WitrynaDescription. Developer of a comprehensive quality management system intended for radiology departments using artificial intelligence to aggregate and analyze data from the PACS and RIS. The company's platform quickly and efficiently analyzes medical imaging for healthcare professionals, detecting previously unnoticed and therefore unreported ... WitrynaIMedis 2 Oppenheimer St. Building B, Rechovot Israel + 972.76.889.9800 [email protected] ©2024 IMedis AI Ltd. ...
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WitrynaIMedis is on a Mission To Create The First-In-Kind, AI-Based Comprehensive Quality Management System for Radiology Departments. Early detection of cancer and other … Proprietary AI algorithms address failure points with state-of-the-art performance … Founded in early 2024, IMedis was created with the aim of creating the first-in-kin… AI-powered, automated quality assurance for radiology. IMedis Duali-Q optimize… IMedis is offering a free AI-driven retrospective analysis of past radiology reports … IMedis 2 Oppenheimer St. Building B, Rechovot Israel + 972.76.889.9800 info@i… WitrynaIMedis AI Information. IMedis is developing a first-in-kind comprehensive quality management system for radiology departments. The AI driven cloud-based solution … high dive menu
With CE approval in the bag, IMedis targets FDA OK - Geektime
WitrynaAI for Radiology is a non-commercial initiative of the Diagnostic Image Analysis Group, part of the Department of Medical Imaging at the Radboud university medical center. … WitrynaOptimize processes and. improve data transactions. Our patient and professional platform is an all-inclusive digital healthcare solution for medical data, telemedicine, and personalized care. Key functionalities include secure electronic health records, AI-driven health monitoring, video chat consultations, seamless appointment scheduling, e ... WitrynaIMedis AI - NOAH19 Tel Aviv 1. Detecting When It Matters Most Tomer Glottman CEO/Co-Founder [email protected] USA (650) 353-2300 Israel (972) 052-3237379 2. @NOAHConference @noah_conference @noah-conference @NOAHConference FOLLOW USONSOCIAL 3. Using deep learning to pinpoint and surface cases with … high dive lounge