國際交流 - 學術研討會
2024總統盃黑客國際松：數位與淨零創新工作坊
The global wave of digitalization and net-zero initiatives is upon us. The Presidential Hackathon International Track eagerly awaits contributions from all sectors, fostering collaborative solutions to global challenges for a brighter future! Whether you bring innovative ideas or boundless hack spirit, all are welcome to join hands in reshaping the present and revolutionizing the future!
【Event Promotion 】2023 Neuroscience Symposium- Neurodrug Development.
We are delighted to extend our invitation to the collaborative Neuroscience Symposium, titled "2023 Neuroscience Symposium - Neurodrug Development," jointly organized by the University of Helsinki and Taipei Medical University. The event is scheduled for December 12, 2023, at 9:00 AM. @Conferance Room 1, 8F, Teaching & Reseach Building, Shuangho Campus, Taipei medical University
世界病人安全教父David W. Bates教授演講暨交流會-Seminar on “AI in Digital Health & Smart hospital”
臺北醫學大學醫學科技學院健康資訊科技國際研究中心主辦的【世界病人安全教父David W. Bates教授演講暨交流會】將於7月28日（五）下午14:00至16:30舉行。我們特邀美國哈佛大學的David W. Bates教授以及北醫大醫學資訊研究所特聘教授李友專Yu-Chuan (Jack) Li，共謀AI在醫療領域的前瞻應用。本場線上講座匯聚了業界精英，期待透過分享與交流，共同推進醫療科技的未來發展。誠摯邀請您的參與，共創新的科技醫療篇章。
Webinar： AI in Healthcare (Prof. Shabbir Syed Abdul)
Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence and internet of things (IoT), and has opened a wide range of opportunities for healthcare advancements. Wearable devices, non-contact sensors, m-health technologies are some examples of IoT which when connected to the internet can collect valuable medical data. This data can provide insights about the symptoms, the patterns and variations, enable remote care and monitoring, and encourage participatory health care among the patients. Research has focused on the IoT devices, and how they can be used to monitor health parameters and detect health conditions. Non-contact sensors are gaining popularity in clinical settings for monitoring the vital parameters of patients. Application of artificial intelligence (AI) algorithms on the data collected from IoT devices can help in prediction, early detection, and better management of diseases. These models could assist healthcare professionals in decision making and formulating better care plans for patients. Thus, artificial intelligence has a wide range of applications for healthcare data from IoT devices.
Dr. Yu-Chuan Jack Li speaks about Taiwan’s successful coping with the COVID-19-Crisis
Dr. Yu-Chuan Jack Li, distinguished Professor of the College of Medical Science and Technology, Taipei Medical University and President-Elect of the International Medical Informatics Association, speaks about Taiwan’s successful coping with the COVID-19-Crisis. He sketches opportunities und innovative solutions and chances for the future due to the pandemic