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Kaohsiung Medical University

Kaohsiung Medical University

Kaohsiung Medical UniversityKaohsiung Medical University is a leading medical school in southern Taiwan and the Asia-Pacific region, with over seventy years of history in medical excellence. The strength of KMU lies in its outstanding students, as we recruit the best students from across the country every year. The university is not only a training institution for healthcare professionals but also an exceptional center for nurturing the most outstanding medical talent and leaders, with the goal of advancing societal progress.

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A Prediction Model for Type 2 Diabetes Complications

Solution Description

Smart Healthcare

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications

Our research group develops a decision-support prediction model for type 2 diabetes
complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c,
and other dynamic factors, the model estimates long-term risks of major complications and
mortality, visualizes future trends, and supports personalized care planning to improve
disease management and outcomes.

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Solutions

Innovative Intelligent Tongue Vibration Training System
Kaohsiung Medical University
Kaohsiung Medical University
1    0
Smart Healthcare
Innovative Intelligent Tongue Vibration Training System
Prof. Chia-Hsin Chen’s Team – An Innovative AI-Powered Tongue Vibration Training System This project develops an AI-driven tongue vibration training system for dysphagia and obstructive sleep apnea. It combines a safe, adjustable tongue device, AI motion tracking with real-time biofeedback, EEG-based cognitive monitoring, and AR-based gamified training to deliver personalized, engaging, and data-driven rehabilitation.
Intelligent X-ray Imaging System
Kaohsiung Medical University
Kaohsiung Medical University
1    0
Smart Healthcare
Intelligent X-ray Imaging System
Prof. Ming-Chung Chou’s Team – Intelligent X-ray Imaging System Traditional X-ray imaging depends on experienced radiographers to balance image quality and radiation dose. Automatic exposure control may misjudge patients with poor positioning or metallic implants, increasing radiation by about 20%. This study develops an AI-based X-ray imaging system with non-contact body thickness measurement. By integrating patient height and weight, the system automatically determines optimal exposure parameters, ensuring stable image quality while reducing unnecessary radiation and cancer risk.
An Auxiliary Assessment System for Coronary Heart Disease Identification
Kaohsiung Medical University
Kaohsiung Medical University
2    0
Smart Healthcare
An Auxiliary Assessment System for Coronary Heart Disease Identification
Dr. Hung-Lung Lin’s Team – An Auxiliary Assessment System for Coronary Heart Disease Identification In response to population aging and the younger onset of coronary heart disease (CHD), this study develops an AI-based auxiliary CHD screening system integrated into a mobile app. Grounded in traditional Chinese medicine tongue–heart theory, the system analyzes sublingual vascular images using reflection removal, image segmentation, and a multi-head attention deep learning model. Users can obtain accurate, reproducible screening results and health recommendations within 7–20 seconds using only a smartphone, enabling convenient and cost-effective preliminary CHD assessment.
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