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GEHC Unveils AI LOGIQ Ultrasound Systems to Boost Imaging & Workflow
ZACKS· 2026-02-26 17:51
Core Insights - GE HealthCare Technologies Inc. (GEHC) has launched the next generation of its LOGIQ ultrasound portfolio, which aims to enhance clinical image quality, streamline workflows, and improve diagnostic confidence through AI-powered innovations and Verisound Digital architecture [1][5] Product Features - The new LOGIQ systems include the LOGIQ E10 Series, LOGIQ Fortis, and LOGIQ Totus, featuring upgraded imaging performance and an expanded open digital platform to enhance operational efficiency and support clinical decision-making [2][9] - The systems are designed for a wide range of clinical applications, from routine imaging to complex abdominal and liver assessments, with a focus on improving diagnostic confidence and productivity [3][10] - Key innovations include Ultrasound-Guided Fat Fraction for liver assessment, which addresses the rising global prevalence of fatty liver disease affecting nearly 40% of the population [10][11] Technological Advancements - The new systems incorporate AI tools that aim to speed measurements and reduce user interactions by 80%, alongside features like Auto Abdominal Suite 2.0 for improved measurement accuracy [7][11] - GEHC is expanding its open digital platform to allow integration of third-party applications, enhancing connected workflows and data-driven clinical reporting [12] Market Position and Trends - GEHC's market capitalization stands at $38.31 billion, and the company has seen a 13.5% increase in shares over the past six months, outperforming the industry [6][4] - The artificial intelligence in ultrasound imaging market is projected to reach $1.22 billion by 2026, with a CAGR of 8.4% through 2035, driven by the growing demand for ultrasound imaging and AI technology [13][14] Future Prospects - The launch of the LOGIQ ultrasound portfolio is expected to strengthen GEHC's competitive position in high-demand diagnostic imaging markets, addressing critical clinical needs while improving workflow efficiency [5][10]