2023
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The Emergency AI Team is awarded the 'Seal of Excellence' in the Smart Healthcare Category at the 24th National Healthcare Quality Awards for ‘AI-Powered Prediction of Fever Patients' Conditions Across Emergency Departments’
2022
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Selected as SNQ (Symbol of National Quality) mark of quality for "Inter-hospital Real-time AIoT Pneumonia Prediction System"
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"Inter-hospital AI Prediction of Hyperglycemia Crises" won the Smart Medicine mark of quality at the 23rd National Medical Quality Awards
2021
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"Inter-hospital Emergency Chest Pain AI Prediction" won "Honorable Mention" in the Smart Medicine category at the 22nd National Medical Quality Awards
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Selected as Symbol of National Quality (SNQ) - Emergency AI: Pioneering Smart Medical Care While Protecting Life from the Front Lines
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Obtained domestic invention patent for the elderly influenza disease prediction system
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You-Ming Chen,Yuan Kao, Chien-Chin Hsu, Chia-Jung Chen,Yu-Shan Ma, Yu-Ting Shen, Tzu-Lan Liu, Shu-Lien Hsu, Hung-Jung Lin, Jhi-Joung Wang, Chien-Cheng Huang, Chung-Feng Liu. Real-Time Interactive AIoT-Based Prediction for Adverse Outcomes in Adult Patients with Pneumonia in the Emergency Department. Acad Emerg Med. 2021;00:1–9.
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Chung-Feng Liu, Chien-Cheng Huang, Jhi-Joung Wang, Kuang-Ming Kuo, Chia-Jung, Chen. The Critical Factors Affecting the Deployment and Scaling of Healthcare AI: Viewpoint from an Experienced Medical Center. Healthcare 2021, 9(6), 685.
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Tian-Hoe Tan, Chien-Chin Hsu, Chia-Jung Chen, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang. Predicting Outcomes in Older ED Patients with Influenza in Real Time Using a Big Data-Driven and Machine Learning Approach to the Hospital Information System. BMC Geriatrics. 2021 April;21:280.
https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-021-02229-3
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Trade Insight Biweekly Issue 567 - Embracing AI Technology: Taiwan's Intelligent Diagnosis and Treatment Brought to the World
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"When artificial intelligence meets human intelligence: interactive AIoT pneumonia prediction tool" awarded with Smart Care label of the 21st annual National Healthcare Quality Awards
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"Establishing a clinically integrated AI real-time disease prediction system for hyperglycemia risk" won the "Silver Award" at the 2021 Taiwan Green Idea International Invention and Design Competition
2020
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Pei-I Zhang, Chien-Chin Hsu, Yuan Kao, Chia-Jung Chen, Ya-Wei Kuo, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang. Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.2020 Sep; 28:93.
https://sjtrem.biomedcentral.com/articles/10.1186/s13049-020-00786-x
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Chi Mei medical AI assists emergency chest pain prediction to detect coronary artery stenosis
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Acute myocardial infarction difficult to predict; Chi Mei pursues emergency AI assistance
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A physician's second eyes: Chi Mei's first emergency AI prediction tool published in international journal
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“Interactive AIoT pneumonia prediction tool” won the “Titanium Award” at the 2020 Taiwan Green Idea International Invention and Design Competition, “Cloud-based AI-based influenza prediction system for the elderly” won the “Gold Award” at the 2020 Taiwan Green Idea International Invention and Design Competition, “AI prediction system for patients with emergent chest pain” won the ”Silver Award” in the 2020 Taiwan Green Idea International Invention and Design Competition.
2019
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“From BI to AI prediction - the distance between influenza and ‘death’” won the “Silver Award” in the Smart Medical category of the 20th National Medical Quality Awards
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Breakthrough in smart medical care: medical AI detects elderly influenza complications with an accuracy of 80%
https://health.ltn.com.tw/article/breakingnews/3006636