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Timeline

202524th May
AI·DOJO II (Fundamentals) The second AI·Dojo session is held at Castle Hill's Growth Academy
20252nd March
AI·DOJO I (Fundamentals) The first AI·Dojo session is held at Sydney's Frenchs Forest
2025
AI·Dojo Established
2024
Textbook Chapter Chapter written for the textbook "Artificial Intelligence in Cardiovascular Medicine": Intelligence-based cardiovascular disease prevention.


Link   View Chapter
2024November
TAVI-Bot Abstract published in the medical journal Circulation: An LLM based multi-agent AI solution transcatheter aortic valve implantation (TAVI) team to augment multidiscplinary meetings


Link   View Poster
202417th October
ACUH National Forum A presentation to Australian Cardiac Unit Heads National Forum, in collaboration with Microsoft. What does the cardiology patient journey look like, infused with AI?


View
202426th-29th September
BeatBot (APHRS) Abstract for the Asian-Pacific Heart Rhythm Society Scientific Sessions 2024: A Customised Chatbot for Cardiac Implantable Electronic Devices (IECD) inquiries


Abstract
202425th September
Patient Health Coach What did the doctor say again? A look at patient-centred AI care for the Inter-Clinical Period. Presented at the Health Beyond Research and Innovation Showcase.


View   Poster
202414th-15th September
PreggoCanon (ISSHP) A generative AI tool to allow you to rapidly answer clinic questions in pre-eclampsia. Presented at the International Society for the Study of Hypertension in Pregnancy (ISSHP) World Congress 2024.


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20242nd August
CardioCanon CSANZ Abstract published in the medical journal Heart, Lung and Circulation: creation of a customized chatbot for cardiology inquiry using retrieval augmental generation (RAG) to improve performance of LLMs


Link   Presentation   Abstract
20249th June
Preeclampsia Review publication in Pregnancy Hypertension:Machine learning, advanced data analysis, and a role in pregnancy care? How can we help improve preeclampsia outcomes?


Link     Review Article
2023
ICON Pie Talk Speaker for the ICON (Improving Cardiovascular Outcomes Network) at the 2023 Liverpool Cardiology Research Showcase


View
20238th-9th December
M.I.S virtual Summit Co-chair and guest speaker at the annual global MIS virtual summit, exploring the benefits and challenges of AI diagnostics, treatments, and healthcare processes


Visit M.I.S
2023January
AIFS grows to 94 The Artifical Intelligence from Scratch collective morphs into a 'AI for Society' Whatsapp group that grows to include 94 members, with members ranging from professional leads in the medical and data science fields to ethicists and jazz musicians.
202218th November
    PIE Soiree

Meeting held at the Microsoft Technology Centre in Sydney, in Collaboration with Campbelltown Hospital, Liverpool Hospital, Western Sydney University and the Ingham Institute for Applied Medical Research.
2022January
OCT Abstract Published abstract in the medical journal Heart, Lung and Circulation: Automation of Optical Coherence Tomography (OCT) Tissued Morphology and Vessel Sizing With Artificial Intelligence


Link   Article
2021March
Predict MoA Kaggle Kaggle competition for predicting mechanism of drug action. Deployed team consisting of 2 doctors and 3 machine learning engineers.
2020December
CEDAR synthetic ECG Synthetic ECGs were created as a thought experiment using a variational auto-encoder (VAE). VAE are neural networks designed for unsupervised learning.


Link
2019February
AIFS established "Artifical Intelligence from Scratch" is created - an eclectic group of friends coming together to explore the AI frontier



Team
...
Dr Jaime Baquiran


Jaime works as a GP in Sydney. He is a student of the AI Dojo. In his spare time he tinkers in python, strums the guitar and rearranges aquascapes.

...
Dr Hao Tran


Dr Tu Hao Tran completed internal medicine at Concord and Nepean Hospitals and attained Cardiology Specialist training at Liverpool and Campbelltown Hospitals. He is currently an Honorary Medical Officer in Innovation and Electrophysiology at Campbelltown Hospital where he collaborates in digital health solutions requiring data science and artificial intelligence (AI). He is a part-time AI consultant in the R&D department of HeartBug, a medical technology company with expertise in 28 day single lead ECG monitoring. He is also a PhD candidate in the Imaging and Phenotyping Laboratory (IaPL) under Professor Stuart Grieve and Professor Annemarie Hennesy at Charles Perkins Centre, University of Sydney. His PhD relates to deeper phenotyping of cardiovascular disease with multi-modal imaging (photon counting CT and 4D flow MRI), multi-omics, ECG monitoring and machine learning. He is an educator, student and practitioner in the field of AI and is interested in all forms of cardiovascular imaging.