Digital Biomedical Research Division
- The Medical Information Research SectionThe Medical Information Research Section specializes in the development of cutting-edge AI analysis technologies for bio-medical data and high-precision medical imaging solutions.
Our research focuses on transforming healthcare through intelligent data interpretation and advanced diagnostic tools.
We are developing robust AI technologies capable of rapid cerebrovascular disease diagnosis in emergency medical settings.
Our models are specifically designed to analyze biosignals(such as EEG and cerebral blood flow) even in high-noise environments containing motion artifacts, ensuring timely and accurate clinical decisions.
Our team leverages XAI-LLM(Explainable AI & Large Language Models) to create proactive solutions for chronic kidney disease(CKD).
These technologies focus on prevention, personalized management, and the early detection of acute exacerbations, providing clinicians with transparent and actionable insights. In the field of mental health, we focus on substance use disorders(alcohol, nicotine, and drug addiction). By integrating biosignals with real-world ecological momentary assessments (EMA), we identify digital phenotypes of craving and craving suppression. Our goal is to develop digital intervention technologies that detect, predict, and suppress cravings in real-time during daily life.
We are pushing the boundaries of traditional CT analysis using deep learning. While conventional CT relies primarily on image brightness for tissue differentiation, our research utilizes Dual-Energy CT(DECT) and advanced algorithms to achieve high-precision estimation of tissue density and atomic composition, significantly improving diagnostic accuracy.
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- The Diagnostic and Therapeutic Systems Research SectionThe Diagnostic and Therapeutic Systems Research Section focuses on developing key medical technologies to meet the demands of an aging society and the growing burden of chronic diseases.
Our work spans early disease detection, real-time health monitoring, functional assistance, and rehabilitation through advanced, human-centered approaches.
We pursue next-generation precision medicine by integrating wearable systems, non-invasive biosignal monitoring, high-sensitivity biosensors, and gene therapy support devices.
Our ongoing research includes wearable artificial muscle systems, non-invasive blood glucose measurement, liver cancer biomarker diagnostics, breath-based early disease detection, rapid viral testing, quantum optical gas sensors, retinal signal monitoring, and hyperspectral imaging technologies.
Collaborating closely with leading hospitals and industry partners, we carry out clinical validation and commercialization in parallel, ensuring practical deployment in medical, healthcare, rehabilitation, industrial, environmental, and defense-related fields. By converging artificial intelligence, nanotechnology, photonics, sensor technology, and wearable platforms, we are advancing intelligent, precise, and non-invasive diagnostic and therapeutic solutions—enhancing global competitiveness and contributing to the future of healthcare innovation.
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- The Human Enhancement & Assistive Technology Research SectionThe Human Enhancement & Assistive Technology Research Section conducts foundational research on human-centered artificial intelligence and wearable technologies aimed at understanding human behavior, emotion, and physiological states while enhancing individual health and physical capabilities. The section integrates three core research areas—AI technologies for precise assessment of human states, wearable systems that assist and augment human physical capabilities, and next-generation AI computing technology for efficient implementation—to establish the technological foundations of human-centered intelligent systems.
Through the convergence of AI, wearable systems, and energy-efficient computing, the section develops core technologies that address emotional and physical challenges associated with disease, aging, and disability, with the goal of improving quality of life. This research spans personalized digital healthcare to assistive physical support systems, advancing technologies that integrate seamlessly into everyday life and enable healthier and more independent living.
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- The Human Sensory Augmentation Research SectionThe Human Sensory Augmentation Research Section aims to develop human-centered technologies that restore and enhance sensory and perceptual capabilities in individuals affected by aging, illness, or disabilities.
To achieve this, we conduct research on AI models that analyze multimedia data such as images and audio to complement and extend human sensory and perceptual functions. Our work also addresses critical challenges in AI systems, including model bias, data scarcity, and processing speed limitations.
In addition, we are exploring sensory substitution technologies that enable perceptual experiences by converting information from impaired sensory organs into signals for other intact senses. This research builds upon fundamental technologies in AI, wearable computing, and human-computer interaction.
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