SESSION 501: <br/>Health data science and artificial intelligence
Track 2
| Wednesday, July 12, 2023 |
| 11:10 AM - 12:40 PM |
| C4.1 |
Overview
C4.1
Presentations
Presentations
Details
The duration of each presentation is 10 minutes, with a Q&A session scheduled at the end. Please utilise the conference app to submit your questions. In case your question remains unanswered during the session, the authors may reply via the app.
Speaker
Catherine Koetz
Director - Healthcare
GS1 Australia
Session chair
Biography
Passionate about Healthcare efficiency, Supply Chain improvement and Patient Safety.
Believe that ideas, innovation, collaboration & the right people can create positive change in any organisation or industry.
Experienced leader with a demonstrated history of working in a non-profit organisation, sales and manufacturing organisations.
Dr Shengqiang Chi
PhD
Zhejiang Lab
Graph neural network based multi-label hierarchical classification for disease predictions in general practice
11:10 AM - 11:20 AMBiography
Shengqiang Chi, Ph.D., associate researcher from Zhijiang Laboratory. The main research directions are medical informatics, medical big data and artificial intelligence.
Dr Chengkai Wu
Postdoctoral
Zhejiang Lab
Physician-centered EHR data utilisation: A pilot study
11:20 AM - 11:30 AMBiography
Chengkai Wu received his PhD Degree in Biomedical Engineering from Zhejiang University. He is currently working as a postdoctoral in Zhejiang Lab. His research interests include medical informatics, EHR data utilisation, and clinical decision support.
Dr Nhan Do
Director - Informatics
Boston VA Healthcare System
Transfer learning for mortality prediction in non-small cell lung cancer with low-resolution histopathology slide snapshots
11:30 AM - 11:40 AMBiography
Nhan Do is a research assistant professor of medicine at Boston University School of Medicine and the Director of the VA Boston Bioinformatics Group. He has served in multiple informatics leadership positions in the Military Health System to manage and support the design, development, implementation, and evaluation of health information technology. His current research effort at the VA is primarily the development of infrastructure to support data science research for precision oncology within a Learning Health Systems framework. This includes data repository, knowledge repository, and software applications to deliver actionable knowledge through data visualization for situational awareness and clinical decision support.
Prof Emily Chia-Yu Su
Professor
Taipei Medical University
Prognosticating fetal growth restriction and small for gestational age by medical history
11:40 AM - 11:50 AMBiography
Professor, Graduate Institute of Biomedical Informatics
Joint-Appointment Professor, Professional Master Program in Artificial Intelligence in Medicine
Member, TMU Research Center of Artificial Intelligence in Medicine and Health
Joint-Appointment Professor, Professional Master Program in Artificial Intelligence in Medicine
Member, TMU Research Center of Artificial Intelligence in Medicine and Health
Dr Jia Rong
Lecturer
Monash University
Pericardial effusion detection on post-mortem computed tomography images using convolutional neural networks
11:50 AM - 12:00 PMBiography
Dr Jia Rong is a lecturer in the Faculty of IT, Monash University. She is affiliated with Monash Data Future Institute and Alliance for Digital Health at Monash. Her interest lies in the joint areas of machine learning, deep learning, digital health, medical image analysis, and disease diagnosis.
Jinnan Hu
Engineer
Zhejiang Lab
A multi-resolution denoising method for low-dose CT based on the reconstruction of wavelet high-frequency channel
12:00 PM - 12:10 PMBiography
Jinnan Hu received the Master degree in Electric Engineering from the University of Sydney in 2021. He is currently working in the Research Center for Healthcare Data Science of Zhejiang Laboratory. His research interests include the post-processing algorithms of medical images.
Dr Chengkai Wu
Postdoctoral
Zhejiang Lab
Hierarchical label distribution learning for disease prediction
12:10 PM - 12:20 PMBiography
Chengkai Wu received his PhD Degree in Biomedical Engineering from Zhejiang University. He is currently working as a postdoctoral in Zhejiang Lab. His research interests include medical informatics, EHR data utilisation, and clinical decision support.
Prof Rema Padman
Professor
Carnegie Mellon University
YouTube videos for public health literacy? A machine learning pipeline to curate COVID-19 videos
12:20 PM - 12:30 PMBiography
Rema Padman is Trustees Professor of Management Science and Healthcare Informatics in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University and Adjunct Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine. Her research interests include digital therapeutics for health literacy, healthcare operations and analytics for decision support.