-演講時間: 114年6月11日（三） 14:00~16:00
-演講地點: E6-A207教室
-演講者: Dr. Emily Chia Yu Su蘇家玉教授 ( Institute of Biomedical Informatics, National YangMing Chiao Tung University)
-演講主題: Applications of Explainable Artificial Intelligent and Machine Learning for Clinical Decision Support（可解釋人工智慧與機器學習於臨床決策支援之應用研究）
-摘要： The innovative applications of artificial intelligence (AI) and machine learning (ML) in medical informatics are facilitating developments of personalized medicine and healthcare. Machine learning algorithms have found extensive utility in clinical decision support and healthcare research. Consequently, this talk will introduce several healthcare research topics that leverage explainable artificial intelligence. First and foremost, the applications of machine learning algorithms play a crucial role in advancing clinical decision support systems for various diseases. These include the prediction of conditions such as preeclampsia, in vitro fertilization success in pregnancies and diabetic retinopathy. Moreover, machine learning algorithms can be instrumental in epidemiology analyses with public health contexts, aiding in the prediction of dengue fever outbreaks and the management of risks associated with the COVID-19 virus. In summary, applications of artificial intelligence, particularly explainable machine learning algorithms, have proven highly effective in the development of clinical decision support systems. This field holds great promise for further discoveries, interventions and future directions that can be anticipated in the near future.
