SESSION 403: <br/>Health data science and artificial intelligence

Track 4
Tuesday, July 11, 2023
10:40 AM - 12:10 PM
C4.3

Overview

C4.3
Presentations


Speaker

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Dr Travis Grant
Client Account Lead
Accenture

Session chair

Biography

Dr Travis Grant is a Managing Director at Accenture. Based in Melbourne, he has worked in the health industry for 25 years, including 17 years in management consulting and eight years in the healthcare system. Travis is primarily involved in strategy, technology and complex business transformation.
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Dr Jing Xia
Research Associate
Zhejiang Lab

Extracting dynamic information of temporal clinical data to predict the outcome in critically ill patients

10:40 AM - 10:50 AM

Biography

Jing Xia received the PhD degree in biomedical engineering from Zhejiang University, China, in 2019. She is currently a research associate at the Research Center for Healthcare Data Science, Zhejiang Laboratory, China. Her research interests focus on clinical data mining, machine learning in medicine and clinical decision support system.
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Dr Mitchell J O'Brien
CERC Postdoctoral Fellow
Australian e-Health Research Centre, CSIRO

PEPS: Polygenic epistatic phenotype simulation

10:50 AM - 11:00 AM

Presentation

Biography

Mitchell O’Brien is a postdoctoral fellow in the transformational bioinformatics team at the CSIRO. He started his postdoc in the Australian e-Health Research Centre (AEHRC) which is CSIRO’s digital health research program. His research focuses on using bioinformatics to uncover the underlying biology of rare complex genetic diseases.
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Prof Rema Padman
Professor
Carnegie Mellon University

Continuous remote patient monitoring for post-discharge heart failure management: Workflow modeling using discrete event simulation

11:00 AM - 11:10 AM

Presentation

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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Dr Ibrahima Diouf
Research Scientist
Australian e-Health Research Centre, CSIRO

An approach for generating realistic Australian synthetic healthcare data

11:10 AM - 11:20 AM

Presentation

Biography

Dr Ibrahima Diouf is a Research Scientist in the health intelligence team at the CSIRO Australian e-Health Research Centre. Ibrahima has extensive experience in the analytics of observational data. Ibrahima's main research interests include statistical methodologies for biomedical research and he has experience in developing and applying causal inference methods.
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Dr Sarah Ben Othman
Postdoctoral
Centralelille

Artificial Intelligence to analyse and limit drug-related problems in hospitals

11:20 AM - 11:30 AM

Biography

Sarah Ben Othman is postdoctoral position within CRIStAL laboratory in France. Her PhD thesis is about the control of flows in hospital emergency departments, assessing and anticipating crowding mainly in pediatric departments. Her main research areas are artificial intelligence, machine learning, modeling and optimization, supply chains and decision support systems.
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Dr Thao Thi Phuong Dao
Ent Doctor - Postgraduate Student of Computer Science
Vietnam National University

Vision-based Assistance for Vocal Fold Identification in Laryngoscopy with Knowledge Distillation

11:30 AM - 11:40 AM

Presentation

Biography

I work as an Otolaryngologist at the Department of Otorhinolaryngology, Thong Nhat Hospital, Ho Chi Minh City. Simultaneously, I am studying for a Master's degree in Information & Communication Technology - Artificial Intelligence at the University of Science, Vietnam National University, Ho Chi Minh City, Vietnam.
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DC Kaiqi Dong
Doctoral Candidate
Zhejiang University

Position prior attention network for pancreas tumor segmentation

11:40 AM - 11:50 AM

Presentation

Biography

I am a PhD candidate in the Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University. My main research area is artificial intelligence algorithms for pancreatic and pancreatic tumor segmentation in CT images.
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Luise Modersohn
PhD Student
Technical University of Munich

Final report on the German clinical reference corpus 3000pa

11:50 AM - 12:00 PM

Biography

since 2022: Leader of the Junior Research Group De.xt (MRI/TU Munich)
since 2018: Research Assistant at the JULIE Lab (Friedrich Schiller University Jena)
2014 - 2018: Research Assistant at the Computer Vision Group (Friedrich Schiller University Jena)
2009 - 2014: Master of Bioinformatics/Computational Biology (Friedrich Schiller University Jena)

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