ASUS Showcases AI-Powered Healthcare Solutions @ MEDICA 2024


ASUS announced its latest suite of AI-powered healthcare solutions at MEDICA 2024, reaffirming its commitment to revolutionizing the smart healthcare sector. The innovative solutions on offer encompass telehealth, medical AI, wearables, and medical imaging technologies ― all aimed at improving the efficiency of medical workflows and processes, and empowering individuals worldwide to lead healthier lives. Visitors are invited to drop by the ASUS booth during MEDICA 2024, at Messe Düsseldorf, Hall 9, booth 9A08, from November 11 to 14, 2024.

Telehealth with Gen AI
At the forefront of ASUS telehealth offerings is ASUS HealthHub, a comprehensive solution that facilitates continuous patient care. This platform collects patients’ self-measurements and securely transmits the data to designated healthcare providers via the cloud. The remote monitoring capability of HealthHub allows medical professionals to assess patient status from afar, significantly reducing the risk of cross-infections in hospitals and enhancing nursing staff productivity by up to 12.5% . ASUS HealthHub is available in three software versions—Hospital, Kiosk, and Home—each tailored to meet specific user needs and scenarios. HealthHub also features Generative AI technology to provide instant health information via ChatGPT.

Medical AI solutions for AI computing
ASUS Handheld Ultrasound LU800 series. This lightweight wireless device features a 128-channel beamformer and is suitable for point-of-care ultrasound (POCUS) applications in diverse settings, from in-ambulance use to rural clinics. The integration of AI technology in the LU800 series enables rapid measurements, reducing scan times and enhancing diagnostic efficiency. A voice control feature allows physicians to activate multiple ultrasound functions via verbal commands, while a Smart Preset feature provides one-click image optimization via AI, ensuring the most readable format for accurate diagnosis. Another groundbreaking product is the ASUS MDS-M700 Medical Box PC is engineered to support 4K UHD imaging, providing unparalleled clarity and precision when visualizing human tissue. Designed to operate at ultra-low noise levels and featuring a seamless one-piece cover that’s alcohol-resistant, the MDS-M700 is ideal for sterile environments such as surgery centers, operating theaters, and medical training facilities. Powered by Intel® Core™ (13th Gen) processors and optional NVIDIA® RTX™ GPUs, the MDS-M700 is well-equipped for real-time AI algorithms and analysis.

Medical wearables with AI algorithms
The ASUS VivoWatch series features advanced AMOLED displays and comprehensive health-management tools. These include medical-grade ECG and PPG sensors for blood pressure and ECG measurements, sleep-quality analysis, and extended battery life for continuous monitoring and convenience. The new AI Coaching Platform for the VivoWatch series integrates users’ vital-sign data and daily life information to create a holistic health database. By leveraging AI algorithms, the latest VivoWatch 6 series offers customized health insights and identifies potential health risks, enabling users to take proactive steps toward improving their well-being.

Leading medical imaging
Also showcased are the latest ASUS clinical monitors. The MH3281A has a 31.5-inch 8MP OLED panel, while the 27-inch MH2741A and 23.8-inch MH2441A feature 3.6MP IPS panels. All three panels feature an anti-glare, low reflection (AGLR) coating. These monitors are designed to meet the DICOM Part 14 standard and are listed as Class 1 devices by the U.S. Food and Drug Administration. Each monitor includes the ASUS-exclusive DICOM Preset mode, which auto-compensates for the DICOM curve, depending on ambient lighting. The monitors also offer hardware calibration and are pre-calibrated at the factory to a Just Noticeable Difference value of less than 10% (JDN 10%) to ensure long-term DICOM accuracy. ASUS MH clinical displays are ideal for radiology and Picture Archiving and Communication System (PACS) use.

 

 

 

 

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