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Scalable Journey of AI in health care through the lens of algorithms to detect high risk heart patients in ED
The topic would be a conversation how to help in health care decisions using AI and the journey we took in this last year building two products focussed on AI in healthcare , the fundamental understanding of feature engineering in health care sector , data availability, challenges of NLP in AI, how went through solving and where to next to make AI successful in healthcare in Australia. What does it really mean to be a health Data Scientist today?
Speaker: Monmayuri Ray, Data Scientist at Deloitte
Monmayuri is a manager, data scientist, researcher specialising in AI at Deloitte in Sydney. She has built creative products to solve challenges for companies in industries as diverse as financial services, healthcare and human capital. Along the way, she has built expertise in Natural Language Processing, scalable feature engineering with healthcare data, chatbot analytics, smart- prosthetics. With a background in Applied Mathematics in Biomedical Engineering, she likes to describe the essence of AI as “low cost prediction” and believes the world needs poets, historians, artists, phsycoanalysts and scientists to unlock the potential of these emerging technologies where one works in making a machine thing like humans and be fortune tellers.
Opportunities for Applied AI in Healthcare: An Australian Perspective
We've all seen recent headline advances in machine learning for prestige applications like autonomous vehicles and super-human game playing. But what does this mean to Australian clinicians and health consumers? And how can we translate recent advances into value given the complexity of the health system? This talk will survey the current state of play, focussing on disruptive applications that drive business efficiency and new models of care. I will outline challenges and opportunities through the lens of an Australian network of 76 healthcare providers, payers, government agencies, technology companies and universities.
Speaker: Ben Hachey | Head of Data Science at Digital Health CRC
Ben is a data scientist, with an academic background in natural language processing and machine learning. Ben received a PhD from the University of Edinburgh in 2009 and worked in AI applied to medicine, finance, news and law at Macquarie University, Capital Markets CRC and Thomson Reuters. From 2013, Ben held an ARC Discovery Early Career Research Award at the University of Sydney and led projects on extracting structured knowledge from web text, mining paraphrase rules for an online writing assistant, and verifying facts in legal documents. Since 2016, Ben has focussed on building and leading teams that develop machine-in-the-loop tools to amplify human intelligence. From August 2018, Ben has been working on program development around opportunities for AI in healthcare at the Digital Health CRC.
Agenda: (Please arrive AFTER 6 PM)
6.10 PM - Drinks and pizza will be served
6.25 PM - Welcome
6.30 PM - 7.00 PM - Session[masked] PM - 7.30 PM - Session[masked] PM - Wrap up
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