Header image

12. Digital and AI - Mini Oral Session - Friday Evening

Tracks
Digital/AI
Friday, August 15, 2025
5:25 PM - 6:05 PM
Theatrette 7

Speaker

Agenda Item Image
Dr Gregg Belous
Research Scientist
CSIRO

A new diffusion-based AI algorithm can generate high-qualify synthetic contrast CT images that accurately reproduce contrast CT104

5:25 PM - 5:30 PM

Biography

Gregg Belous is a research scientist with the CSIRO Health and Biosecurity Unit, specializing in medical image analysis and machine learning (ML). He has contributed to advancing foundational theories in various ML methodologies, including pattern recognition, subspace learning, probabilistic modelling, and deep learning. Dr. Belous' current research focuses on 3D medical image analysis to aid clinical screening of cardiac structures, computational flow simulations for transcatheter mitral valve intervention, and the early detection of coronary events, heart failure, and valvular diseases.
Miss Abhinayeni Kuhasri
Medical Student
University of Sydney

An explainable advanced electrocardiography score for diastolic dysfunction – derivation and prognostic performance

5:30 PM - 5:35 PM

Biography

Abhinayeni Kuhasri is a medical student from University of New South Wales who completed her Honours thesis on advanced electrocardiography scores, its prognostic performance in a large outpatient population and its utility as a potential screening tool. This was completed under the supervision of Professor Martin Ugander. Since then, she has continued in the research field to evaluate different A-ECG scores including those for diastolic dysfunction, heart age gap and left ventricular systolic dysfunction, and their associations with adverse cardiovascular outcomes. This project gave her a brief glimpse into the power technology holds in improving patient care and preventing morbidity and mortality associated with chronic cardiac illnesses. She looks forward to seeing the electrocardiogram eventually transform from a simple bedside investigation into a valuable predictive tool of an individual’s long-term cardiovascular health.
Dr Joseph Assad
PhD Candidate
Liverpool Hospital

Early results from a pilot RCT of a heartLogic-driven mHealth pathway (NOTIFY-HF) for early heart failure intervention

5:35 PM - 5:40 PM

Biography

Dr Joseph Assad is a Cardiologist and PhD candidate affiliated with Liverpool Hospital, the University of New South Wales, and the Ingham Institute of Applied Medical Research. His research focuses on integrating remote monitoring technologies into the management of heart failure patients with cardiac implantable electronic devices. He has a particular interest in applying digital health solutions to improve clinical outcomes, enhance patient care, and streamline healthcare delivery.
Dr Liam Scanlon
Basic Physician Trainee
Monash Health

Comprehensive echocardiographic data enhances machine learning prediction of heart failure readmission following myocardial infarction

5:40 PM - 5:45 PM

Biography

Liam is a junior doctor at currently undertaking basic physician training. He completed his Bachelor of Science with Honours in Computer Science on the topic of AI. Driven by a passion for utilizing technology to improve patient care, Liam is keenly interested in the applications of artificial intelligence and machine learning within cardiac imaging. He believes that these cutting-edge techniques hold immense potential to revolutionize diagnostic accuracy and treatment planning in cardiology. Liam is actively involved in ongoing research projects at the Victorian Heart Hospital, The Prince Charles Hospital and The Royal Brisbane and Women's Hospital. His dedication to this field reflects a commitment to advancing the frontiers of cardiovascular medicine.
Ms Emily Bradburn
Senior Healthcare Programs Officer - Patient Support Lead
National Heart Foundation of Australia

Improving outcomes in coronary heart disease via a tailored digital patient support program

5:45 PM - 5:50 PM

Biography

Emily is a Senior Healthcare Programs Officer at the National Heart Foundation of Australia, leading their patient support and secondary prevention work. After a number of years working as a nutritionist in clinical practice, her passion for cardiovascular disease prevention and desire for population level impact saw her move into public health, where she has worked in both government and not-for-profit for over 15 years. She has extensive experience developing and implementing innovative health programs, with a particular focus on cardiovascular disease prevention and management. Emily has most recently led the development and implementation of the Heart Foundation’s new digital MyHeart MyLife patient support program. Prior to this, Emily led the digital build of the 2023 AusCVDRisk calculator, used by clinicians across the country to assess and manage cardiovascular disease risk. Emily is interested in leveraging digital technology to increase the reach and accessibility of health information and support.
Dr Jack Bradbury
General Medical Advanced Trainee
Austin Health

AI vs. heart team: Can artificial intelligence enhance decision-making in complex coronary revascularisation?

5:50 PM - 5:55 PM

Biography

Dr. Jack Bradbury is a second year general medical advanced trainee at the Austin Hospital in Melbourne, Australia. He has a keen interest in Cardiology, particular in the fields of heart failure and imaging, as well as a broader interest in healthcare innovation and evolution.
Dr Edmond Wong
Cardiology Advanced Trainee
Eastern Health

Smart Wars II: A Pilot study assessing the Withings ScanWatch versus implantable loop recorder and holter monitoring for diagnosing atrial fibrillation after embolic stroke of unknown source

5:55 PM - 6:00 PM

Biography

Dr Daud Mutahar
Intern Doctor
Gold Coast University Hospital

Machine learning approaches for prediction of atrial fibrillation recurrence after catheter ablation

6:00 PM - 6:05 PM

Biography

Intern Doctor at Gold Coast University Hospital
Agenda Item Image
Prof Martin Ugander
Director of Clinical Imaging
University of Sydney

Chairperson

Biography

Professor Martin Ugander, MD, PhD, FCSANZ, is since 2019 Professor of Cardiac Imaging at the University of Sydney. One aspect of his research involves using cardiac imaging to develop advanced electrocardiography (ECG) analysis methods, and he is co-founder of the company Advanced ECG Systems.
loading