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


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

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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.
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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 AM

Presentation

Biography

Shengqiang Chi, Ph.D., associate researcher from Zhijiang Laboratory. The main research directions are medical informatics, medical big data and artificial intelligence.
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Dr Chengkai Wu
Postdoctoral
Zhejiang Lab

Physician-centered EHR data utilisation: A pilot study

11:20 AM - 11:30 AM

Presentation

Biography

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.
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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 AM

Presentation

Biography

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.
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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 AM

Presentation

Biography

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
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Dr Jia Rong
Lecturer
Monash University

Pericardial effusion detection on post-mortem computed tomography images using convolutional neural networks

11:50 AM - 12:00 PM

Presentation

Biography

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.
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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 PM

Biography

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.
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Dr Chengkai Wu
Postdoctoral
Zhejiang Lab

Hierarchical label distribution learning for disease prediction

12:10 PM - 12:20 PM

Presentation

Biography

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.
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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 PM

Biography

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.

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