Workshop on Intelligent Computing for Medical Data Analysis 2023 (WICMDA 2023)
July 5/6/7/12/13rd, 2023 (GMT+12)
Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland
Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, data informatics, neurocomputing, and biomedical statistics and simulation. He has developed medical data analytics methods for mobile health and personalized diagnosis and prognosis based on intelligent computing theories. He has experience analyzing huge cohorts of patient data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.
Intelligent Computing for Medical Data Analysis (ICMDA) is playing an increasingly important role in medical informatics and the healthcare system, especially after the booming of deep learning. ICMDA can reveal diagnostically valuable knowledge from multidimensional and multimodal medical data, providing fast, accurate, and helpful guidance for the diagnosis/prognosis of different diseases. With the rapid development of artificial intelligence and parallel computing, ICMDA involves multidisciplinary technologies such as radiology, pathology, computer science, artificial intelligence, machine learning, image processing, pattern recognition, computer vision, statistics, informatics, and visualization. It can automatically and intelligently extract valuable information from big medical data and combines prior knowledge to improve clinical performance.
Workshop on Intelligent Computing for Medical Data Analysis 2023 aims to bring together medical doctors, scientists, engineers, and students to discuss the latest advances in interdisciplinary research on AI for medical data analysis with clinical applications using machine learning and artificial intelligence techniques/methods. This workshop is designed to introduce Artificial Intelligence methods and connect them with applications at the University of Auckland that can leverage AI in research, such as early diagnosis of neurodegenerative diseases, intelligent computing for cancer data, stroke prediction and precision rehabilitation, etc.
Scope and Information for participants
Detailed research topics include, but are not limited to:
Grafton Campus, The University of Auckland, Auckland 1023, New Zealand
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