At Computex 2025, ASUS made a remarkable leap forward in healthcare technology by unveiling a comprehensive portfolio of AI-powered healthcare tools designed to revolutionize diagnostics and improve medical accessibility across the globe. This showcase highlighted ASUS’s commitment to integrating artificial intelligence, IoT, and big data analytics into practical medical devices and platforms that address pressing healthcare challenges. The centerpiece was the ASUS Handheld Ultrasound LU800, a compact, portable device that combines cutting-edge AI algorithms with advanced imaging hardware to deliver superior diagnostic accuracy and usability. This innovation is particularly significant in expanding access to ultrasound diagnostics in remote or underserved areas where traditional bulky ultrasound machines are impractical. The LU800’s AI-enhanced imaging capabilities automatically optimize scan quality and provide real-time guidance, dramatically reducing operator dependency and enabling even less experienced clinicians to perform effective ultrasounds. This breakthrough exemplifies how AI can democratize healthcare by making high-quality diagnostic tools more accessible and affordable worldwide.
ASUS Handheld Ultrasound LU800: AI-Driven Imaging Accuracy and Enhanced Clinical Workflow Efficiency
The ASUS Handheld Ultrasound LU800 is a game-changer in point-of-care ultrasound technology. Equipped with AI-powered image optimization, automated measurements, and voice control features, this device significantly streamlines the diagnostic process. The AI algorithms embedded in the LU800 analyze ultrasound images in real-time, enhancing clarity and detecting abnormalities with high precision. This reduces the likelihood of missed diagnoses and accelerates clinical decision-making. Moreover, the voice control functionality allows sonographers to operate the device hands-free, maintaining sterile conditions and improving workflow efficiency during examinations. The portability and ease of use of the LU800 make it ideal for diverse clinical environments, from emergency rooms and outpatient clinics to rural healthcare centers. By enabling rapid, accurate ultrasound assessments at the bedside, ASUS is helping healthcare providers deliver timely interventions that can save lives and improve patient outcomes.
Clinical AI Assistant by ASUS: Revolutionizing Electronic Medical Records and Enhancing Diagnostic Support
In addition to hardware innovations, ASUS introduced the Clinical AI Assistant, an intelligent software solution designed to transform how healthcare providers interact with electronic medical records (EMRs) and clinical data. Powered by advanced large language models, this assistant automates complex tasks such as summarizing lengthy medical records, detecting anomalies, and generating pre-consultation questionnaires tailored to individual patients. This dramatically reduces the administrative burden on clinicians, who often spend excessive time on documentation rather than direct patient care. The Clinical AI Assistant’s ability to synthesize vast amounts of unstructured data into concise, actionable insights supports more accurate and timely diagnoses. Furthermore, it facilitates personalized treatment planning by highlighting relevant patient history and risk factors. By integrating seamlessly into existing hospital information systems, ASUS’s AI assistant enhances clinical workflows, improves data accuracy, and contributes to better healthcare delivery.
ASUS EndoAim: Award-Winning AI-Assisted Endoscopy Solution Improving Colonoscopy Accuracy and Patient Outcomes
ASUS’s EndoAim system represents a pioneering advancement in AI-assisted endoscopy, currently deployed in over 35 leading hospitals across Taiwan. This solution utilizes real-time AI algorithms to detect, classify, and measure polyps during colonoscopies, significantly enhancing adenoma detection rates and reducing the risk of colorectal cancer. EndoAim’s integration with the Olympus CV-1500 Video System Center ensures compatibility with state-of-the-art endoscopic equipment, providing clinicians with high-definition imagery augmented by AI insights. The system’s ability to highlight suspicious lesions and provide immediate feedback during procedures helps endoscopists make more informed decisions, improving diagnostic accuracy and procedural efficiency. Recognized with the prestigious Best AI-Assisted Software Solution Award at the 2024 MedTech Breakthrough Awards, EndoAim exemplifies how AI technologies can elevate the standard of care in gastroenterology and has set a benchmark for future innovations in medical imaging.
HealthAI Genie: ASUS’s AI-Powered Personal Health Coach Embedded in VivoWatch and HealthConnect App
ASUS also introduced HealthAI Genie, an innovative AI-powered health coach integrated into the ASUS VivoWatch wearable device and the HealthConnect mobile application. Unlike traditional fitness trackers that primarily monitor activity metrics, HealthAI Genie analyzes physiological data such as heart rate variability, sleep patterns, and stress levels to provide personalized health recommendations and risk predictions. This AI-driven approach empowers users to proactively manage their health by identifying early warning signs and suggesting lifestyle adjustments tailored to their unique profiles. The seamless integration of HealthAI Genie with IoT devices and cloud platforms enables real-time monitoring and data sharing with healthcare providers, bridging the gap between personal wellness and clinical care. By fostering preventive healthcare and encouraging healthier habits, ASUS’s HealthAI Genie contributes to reducing the burden of chronic diseases and improving overall population health.
ASUS xHIS® Digital Health Platform: Accelerating Hospital Digital Transformation with AI and Cloud Technologies
Beyond individual devices, ASUS showcased the xHIS® Digital Health Platform, a comprehensive solution designed to accelerate digital transformation in hospitals and healthcare systems. This platform leverages hybrid cloud infrastructure and modular microservices to standardize medical data, ensuring interoperability and seamless exchange across diverse healthcare applications. ASUS facilitates efficient clinical data integration and analytics by adopting industry standards such as Fast Healthcare Interoperability Resources (FHIR) and Observational Medical Outcomes Partnership (OMOP). The xHIS® platform supports various healthcare functions, including patient management, clinical decision support, and research data aggregation. Its scalable architecture enables healthcare providers to customize solutions according to their needs, improving operational efficiency and patient care quality. ASUS’s investment in digital health infrastructure reflects a strategic vision to create intelligent, connected healthcare ecosystems that harness AI and big data for more innovative medical services.
AI-Powered Medical Coding with ASUS Miraico: Enhancing Accuracy and Financial Management in Healthcare
ASUS Miraico is another critical component of the company’s healthcare AI portfolio, focusing on automating medical coding processes using artificial intelligence. Medical coding, particularly ICD-10 classification, is essential for accurate billing, compliance, and statistical reporting but is often labor-intensive and prone to errors. Miraico employs natural language processing and machine learning techniques to extract relevant information from unstructured medical records and generate precise ICD-10 codes automatically. This automation reduces administrative overhead, minimizes coding errors, and accelerates reimbursement cycles, thereby improving the financial health of medical institutions. By integrating Miraico with hospital information systems, ASUS provides a seamless solution that enhances coding accuracy and supports regulatory compliance. This innovation underscores the growing role of AI in optimizing healthcare administration and resource management.
Lumos Health Data Intelligence Platform: Empowering Clinical Research and Data Exchange through AI and Interoperability Standards
The Lumos Health Data Intelligence Platform is ASUS’s flagship solution for advancing clinical research and health data analytics. It facilitates secure and efficient data exchange between healthcare providers, researchers, and regulatory bodies by implementing interoperability standards such as FHIR and OMOP. This platform enables aggregating and harmonizing diverse datasets, supporting large-scale observational studies, real-world evidence generation, and precision medicine initiatives. By leveraging AI-driven analytics and machine learning models, Lumos helps identify patterns, predict outcomes, and generate actionable insights that accelerate medical discoveries and improve patient care. The platform’s robust data governance framework ensures patient privacy and compliance with international regulations, fostering trust and collaboration across the healthcare ecosystem. ASUS’s Lumos platform represents a critical step toward a data-driven future in medicine.
The Future of AI in Healthcare: ASUS’s Vision for Accessible, Efficient, and High-Quality Medical Services
The innovations presented by ASUS at Computex 2025 collectively illustrate the transformative potential of artificial intelligence in healthcare. By enhancing diagnostic precision, streamlining clinical workflows, and personalizing patient care, ASUS’s AI-powered tools address fundamental challenges such as limited medical resources, rising healthcare costs, and the need for timely interventions. The company’s holistic approach integrates hardware, software, and cloud-based platforms to create an intelligent healthcare ecosystem that benefits providers and patients. ASUS’s vision extends beyond technology development to include global partnerships and initiatives to expand access to innovative healthcare solutions, particularly in underserved regions. As AI continues to evolve, ASUS is positioned at the forefront of driving innovation that makes healthcare more accessible, efficient, and patient-centered, ultimately improving health outcomes on a global scale.
For further details on ASUS’s cutting-edge healthcare AI solutions and their impact on modern medicine, explore the official ASUS Computex 2025 press release and visit their dedicated healthcare innovation portal.
Frequently Asked Questions About ASUS AI-Powered Healthcare Innovations at Computex 2025
What are the key features of the ASUS Handheld Ultrasound LU800?
The ASUS Handheld Ultrasound LU800 offers AI-driven image optimization, automated measurements, voice control, and portability. It provides high-quality imaging with reduced operator dependency, making it ideal for point-of-care diagnostics in diverse clinical settings.
How does the ASUS Clinical AI Assistant improve medical record management?
The Clinical AI Assistant uses advanced large language models to automate electronic medical record summarization, anomaly detection, and pre-consultation questionnaires, reducing administrative workload and enhancing diagnostic accuracy for healthcare providers.
What benefits does ASUS EndoAim provide in AI-assisted endoscopy?
ASUS EndoAim offers real-time polyp detection, classification, and measurement during colonoscopies, improving adenoma detection rates and procedural accuracy. It integrates with Olympus CV-1500 systems and has won awards for its AI-assisted software capabilities.
How does HealthAI Genie enhance personal health management?
HealthAI Genie, embedded in ASUS VivoWatch and the HealthConnect app, continuously monitors physiological data and provides personalized health recommendations and risk predictions, empowering users to proactively manage their health and prevent chronic diseases.
What is the ASUS xHIS® Digital Health Platform and how does it support hospitals?
The ASUS xHIS® Digital Health Platform accelerates hospital digital transformation by standardizing medical data, ensuring interoperability through hybrid cloud infrastructure and modular microservices, and supporting clinical workflows and research data integration.
How does ASUS Miraico automate medical coding and improve healthcare administration?
ASUS Miraico uses AI and natural language processing to automate ICD-10 medical coding Detailed specs and advanced imaging capabilities of the LU800 ultrasound device. Overview of the LU800 series features, wireless design, and clinical applications. In-depth look at the LU800C system supporting multipurpose ultrasound imaging. Explore ASUS’s wireless probe ultrasound product line with detailed specs. Technical summary of LU800 series probes including frequency ranges and imaging modes. Learn about veterinary uses of the LU800 handheld ultrasound device. Essential ASUS Healthcare AI Resources and Product Links for 2025