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DeepHealth Unveils Next-Generation Imaging Informatics and Clinical AI Solutions at RSNA 2025, Advancing a New Standard of AI-Powered Care
Globenewswire· 2025-11-30 13:00
Core Insights - DeepHealth, a subsidiary of RadNet, is launching an expanded portfolio of AI-powered health informatics solutions aimed at transforming the imaging experience and advancing population health [1][2][10] - The company emphasizes an integrated, end-to-end approach to healthcare delivery, leveraging AI to improve operational efficiency and clinical outcomes [2][10] Product Offerings - **Diagnostic Suite™**: A cloud-first enterprise image management solution that automates and accelerates radiology processes, featuring rapid data migration and AI-powered reporting capabilities [4][10] - **TechLive™**: A remote imaging management solution that connects over 400 scanners, resulting in a 42% reduction in MR room closures and improved patient throughput [4][10] - **Operations Suite™**: A unified suite that integrates scheduling, registration, billing, and patient communication, designed to enhance operational efficiency and patient engagement [4][10] Clinical AI Solutions - **Breast Suite**: An AI-powered suite that enhances breast cancer detection, showing a 21% increase in detection rates in a study involving over 579,000 women [5][10] - **Thyroid Suite**: Automates thyroid ultrasound workflows, achieving over 94% acceptance of AI-based measurements by radiologists [5][10] - **Neuro Suite**: Standardizes neuroimaging analysis, including applications for white matter hyperintensity detection and volumetric measurement [5][10] - **Chest Suite**: Automates lung cancer detection, contributing to a significant increase in early-stage cancer detection rates [5][10] - **Prostate Suite**: Streamlines prostate MRI interpretation and biopsy planning, integrating automated lesion detection and risk classification [5][10] Technological Integration - **DeepHealth OS™**: A cloud-native operating system that unifies imaging informatics and AI solutions, simplifying deployment and management for healthcare IT professionals [5][6][10] - **AI Studio**: Integrates over 140 AI algorithms from various vendors into clinical workflows, ensuring consistent performance and safe deployment [5][10] Market Impact - DeepHealth's solutions are currently utilized by over 2,000 customers and more than 5,000 radiologists globally, demonstrating significant real-world impact in healthcare delivery [7][10]
GE HealthCare and RadNet's DeepHealth Division Sign Letter of Intent to Advance Innovation and Adoption of AI-Powered Imaging Across Multiple Modalities and Remote Scanning
Globenewswire· 2025-11-12 21:05
Core Insights - GE HealthCare and DeepHealth are expanding their strategic collaboration to enhance AI innovation in imaging modalities, particularly in breast cancer care and ultrasound diagnostics [1][2][5] Collaboration Expansion - The collaboration aims to broaden the existing partnership established in 2024, which integrated DeepHealth's AI-powered breast cancer screening with GE HealthCare's mammography systems [2][5] - The focus areas include empowering clinicians, optimizing patient pathways, and improving patient access and outcomes [2][5] Technology Integration - GE HealthCare plans to incorporate DeepHealth's Thyroid Suite and TechLive into its ultrasound portfolio, enhancing clinical decision-making and workflow efficiency [3][4] - The Thyroid Suite automates nodule detection and reporting, leading to a reported 30% reduction in exam time at RadNet facilities [4][5] Global Reach - The collaboration intends to extend breast cancer solutions globally and integrate ultrasound imaging with DeepHealth's AI-powered tools for better clinical support [6][7] Remote Connectivity - The partnership will include the distribution of DeepHealth's TechLive remote scanning solution, allowing clinicians to supervise ultrasound procedures from remote locations, thus improving access to care [7][8] Industry Presence - Both companies will showcase their advancements at the RSNA Annual Meeting, highlighting their commitment to AI-powered healthcare solutions [8]