Latest Projects
AI Decision Support System for NTUH
This project aims to construct an AI clinical decision support system for precision medicine based on AI technologies at the National Taiwan University Hospital (NTUH) healthcare system. We integrated entire electronic medical records at the NTUH, including medical diagnosis, medication, medical procedures, laboratory data, medical images, nursing records, and so on. After data collection, we devoted to developing a clinical decision support system based on several high-level AI technologies for genetic diseases, chronic obstructive pulmonary disease, and inherited retinal degenerations.
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Precision Health Management - NTU Medical Genie Lifestyle and Environment Platform
The product is mainly composed of wearable devices, IoT environmental sensors, deep learning, personal health app and case management platform. It can collect and monitor user's lifestyle and environment automatically, and predict the possibility of emergency to assist medical staff in making decisions. In addition, we opened source the project to solve most clinical studies that require lots of time to build data collection tools and processes.
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Pose Estimation and Fall Detection Algorithm
Represent the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints on single video. We can detect humans in the room, then use some points to judge whether they are falling down.
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Emotion Recognition App, HIMSS19 Chanllenge
Beyond depression is a mental health app and management platform that analyzes mental status with facial analysis and artificial intelligence, Stores and tracks data to discover patterns and trends, Provides support for the current mental status of users.
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MATSU Official Website, Government Project
By integrating social network information (Facebook check-in and Instagram) into local travel information(restaurant, attraction story, accommodation, traffic), we can provide afriendly service to backpacker.
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ITAKE App in MEDHACKS, Johns Hopkins Hospital
We developed an app called ITAKE to transform healthcare by incentivizing medical adherence. This app encourages patients totake medications as recommended by tackling the three most common causes oftreatment non-adherence: forgetfulness, misperception, and costs
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