ASUS Healthcare Unveils Advanced Medical Imaging and Health AI at MEDICA 2025

ASUS is highlighting the MH-series clinical displays, its first products classified under the European Union Medical Device Regulation (EU MDR) Class I. Designed for radiology and Picture Archiving and Communication System (PACS) application, the displays support DICOM Part 14 grayscale standard display function (GSDF) with scheduled calibration and DICOM compensation to ensure accurate, consistent visuals. The MH-series incorporates anti-glare, low-reflection panels along with TÜV Rheinland–certified flicker-free and low-blue-light performance, meeting ISO 13485 quality management standards.

ASUS is also introducing the new MA2482A medical display at MEDICA 2025. The display monitor features a 23.8-inch 8MP IPS panel, 2000 nits peak brightness, and a built-in motorized colorimeter for self-calibration Designed specifically for mammographic analysis, the monitor is calibrated to maintain a Just Noticeable Difference (JND) of <10%. A proprietary antibacterial coating on the housing and controls inhibits bacterial and fungal growth. The MA2482A complies with multiple international medical standards and is currently undergoing certification for FDA Class II 510(k), TFDA Class II, and EU MDR Class I.

Also on display is the LU800 handheld wireless ultrasound system, optimized for point-of-care imaging in emergency departments, outpatient clinics, and bedside settings. Its lightweight and highly portable design enables immediate diagnostic scanning beyond traditional clinical environments. With the latest ASUS no-code AI builder platform, healthcare providers and researchers can create customized AI models without programming skills. The platform uses real-world imaging data for training and validation, helping translate clinical needs into practical, deployable AI applications.

The company is further showcasing ASUS VivoWatch, a comprehensive data collection for AI-driven health insights via an integrated cloud platform. VivoWatch provides medical-grade blood pressure and ECG measurements with continuous data capture, supporting clinicians in identifying asymptomatic or silent conditions in real-world settings. Its cloud-based vital-sign platform integrates seamlessly with hospital Health Information Systems (HIS) or cloud infrastructures via API/SDK, enabling real-time remote monitoring and post-discharge follow-up.

Complementing this ecosystem, ASUS HealthAI Genie imports VivoWatch data into a generative AI engine to produce customized research insights. This closed-loop system, spanning data acquisition and HIS integration to AI-driven analysis, streamlines clinical workflows and accelerates biomedical research.

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