The 2024 Taiwan Healthcare+ Expo will be held from December 5th (Thursday) to 8th (Sunday) at the Nangang Exhibition Center. National Taiwan University Hospital (NTUH) and National Taiwan University (NTU) will proudly present its achievements in applying advanced technologies to the healthcare domain. Organized by the Taiwan Bio Industry Organization, this grand event provides professionals with an opportunity to explore the latest developments in medical technology, setting the direction for future advancements in healthcare both domestically and internationally. NTUH and NTU will showcase 14 and 10 outstanding achievements respectively based on cutting-edge technologies such as generative AI, virtual reality, and intelligent systems.
National Taiwan University, in collaboration with National Taiwan University of Science and Technology, Chang Gung University, and Ming Chi University of Technology, presents 10 diverse research achievements. These include advancements in artificial intelligence learning systems, next-generation medical materials and drug development, and precision medical diagnostic technologies etc. The participating teams are led by The Global Industry Platform of the NTU System, which unites NTU, NTUST, NTNU, CGU, and MCUT. By integrating inter-university research strengths, the platform serves as a bridge between academia and industry, leveraging research and development capabilities to drive Taiwan's industrial growth.
Applications of Generative AI
The Health Management Center (HMC) presents "Health Management 4.0: Use Health Data Wisely to Build Your Superpower", which applys wearble devices to collect personal health data and establish the heatlh database. The records are further used to construct chronic disease risk prediction models, which aims to diagnose the disease in preclinical stage or even predict the risk of occurence. The NTUH Telehealth Center has developed the 'Automated Nursing Record Model for Telehealth Dialogues,' which integrates speech-to-text and semantic analysis technologies. This model converts phone conversations into transcripts and generates standardized nursing plans. It enhances operational efficiency, reduces errors, and is applicable to clinical scenarios such as patient care and emergency records. It enables real-time generation of nursing plans, reducing documentation time and prioritizing care decisions. The Medical Information Management Office organized a cross-disciplinary team and was the first in the country to apply localized large language model (LLM) to the disease classification auxiliary system. The system has been implemented in all branches of the National Taiwan University Hospital. The diagnostic prediction full code F-score reached 86.67%, providing the best analysis and applications of optimal DRG . Help certified coding specialists save working time. The system has been granted patents and received national innovation awards and is commercially licensed to other hospitals. “Application of Large Language Models in Medical Report Processing and Electronic Medical Record Consent Form Systems” in the Information Technology office can analyze unstructured information such as article images, automatically generate reports, and output relevant content. This reduces the need for manual judgment and data entry, minimizing repetitive paperwork and improving efficiency. Through the electronic signature feature for consent forms, the public can sign consent forms online both inside and outside the hospital, with real-time identity verification, reducing paper usage and enhancing process efficiency and information verification capabilities。Smart Critical Care Medicine project of the Department of Anesthesiology combines the advantages of Machine Learning (ML) and Large Language Models (LLM). After a patient is admitted to the ICU, ML first quickly provides mortality risk predictions and weights of risk factors. Then, LLM further analyzes the risks, lists potential causes of illness, and recommends examinations and treatments based on severity and urgency. It develops follow-up plans and provides real-time, personalized optimal treatment solutions for patients through continuous integration of multiple data sources. The Center of Intelligent Healthcare's "Medical AI Generative Model" showcased a series of generative large language model systems specifically designed for the medical field at this exhibition. These include the X-ray Analysis System, which automatically generates standardized reports, the Pathology Report Summarization System, which enhances efficiency, and the Report Generation System, which simplifies the report creation process. Together, these innovations aim to advance medical intelligence and precision.
Immersive XR Applications
The Department of Surgery at National Taiwan University Hospital has introduced the "Metaverse Surgical Simulation Platform: Single-Port Thoracoscopic Surgery Wound Position Selection" combines patient CT scans with 3D image reconstruction technology and game engines to create an operable virtual reality (VR) environment. It is anticipated that appropriate preoperative simulations using the metaverse surgical simulation system can enhance the accuracy of wound position selection, thereby reducing surgery duration. In the future, this technology could be applied to a wider range of medical fields, providing new perspectives and tools for training future surgical residents.
Also featured in the same exhibition is "Extended Reality for Invasive Treatment and Surgical Training," which has become a key highlight. This innovative technology, centered on Extended Reality (XR), utilizes 3D imaging technology to accurately present neck anatomy. It combines high-fidelity models, haptic feedback controllers, and dynamic simulations to create an immersive training environment. This not only helps surgeons master essential skills but also significantly enhances learning efficiency and operational precision, ultimately improving patient safety. Additionally, this virtual model demonstrates ethical and environmental advantages by replacing traditional plastic or animal models, significantly reducing the use of physical resources and lowering training costs. It aligns with the sustainable development goals of modern medical education, paving the way for safer, more efficient, and eco-friendly medical training in the future.
The Department of Emergency Medicine's "HoloXMed" system is a groundbreaking innovation that provides more precise and intuitive educational and diagnostic tools designed specifically for medical education and healthcare services. By leveraging advanced technologies such as augmented reality (AR), 3D visualization, and real-time data integration, "HoloXMed" enhances the learning process for medical trainees and supports healthcare professionals with accurate diagnostic assistance in clinical settings. In 2024, this revolutionary system received the prestigious Edison Award, a globally recognized accolade for excellence in innovation, symbolizing its significant contribution to the field of medical technology. It secured the Gold Award in the "Cutting-Edge Tools" subcategory under the Engineering and Robotics category, reflecting its exceptional impact in transforming medical education and practice through innovative solutions.
Innovative Technology Applications
Department of Pediatrics “ Using Human Factors Engineering to Improve Infant Formula Preparation Workflow” The first semi-automated milk preparation device “Ergonomic milk dispenser” , designed through human factors engineering and 3D printing technique, effectively improved the workflow, replaced manual repetitive tasks, significantly reduced occupational injuries, and increased efficiency. This innovative device has obtained a patent in Taiwan and Gold Award of 2023 National Healthcare Quality Award. "Pulmonary Valve Restoration Team for Congenital Heart Disease" Addressing pulmonary regurgitation after congenital heart disease surgery, our team has pioneered the introduction of transcatheter pulmonary valve implantation (TPVI) technology, achieving a remarkable milestone of over 100 successful cases nationwide. This breakthrough has also led to the implementation of National Health Insurance coverage. Our innovative approach has garnered widespread recognition at international conferences and live catheterization demonstrations.
The Ethics Center's「Research Ethic Committee Application and Review Management」enhances the convenience, work efficiency, and quality for the application, review, and management processes. The iLab system integrates management requirements for personnel, equipment, materials, procedures, and environment, utilizing automation for oversight. Managers can access site information anytime through mobile devices, enabling real-time decision-making, regulatory compliance, and crisis management, all dedicated to ensuring the safety of laboratory environments. Department of Emergency Medicine 「Novel Therapeutic Strategy for Acute Myocardial Infarction: Combining Nanogoldsomes and Optofluidic Catheter to Reduce Reperfusion Injury」This innovative myocardial infarction (MI) medical technology combines a nanomedicine and an optical microfluidic cardiac catheter. It has demonstrated, for the first time, the local and rapid generation of nitric oxide and glutathione. Animal experiments conducted in a pig MI model have shown a reduction in myocardial necrosis and apoptosis. This achievement has earned recognition with a 2024 American Heart Association (AHA) international award.
The 2024 Taiwan Healthcare+ Expo is not only a platform for industry exchange but also a beacon of hope for the future of healthcare technology in Taiwan. As a leading institution, NTUH is committed to advancing medical innovation and providing superior healthcare services. We sincerely invite you to witness the boundless potential of Taiwan’s medical technology and the ingenuity of NTU’s research teams!