At IntelliHQ, we have a focus on Heart Rate Variability and are collecting high fidelity ECG data to build predictive models for detecting deteriorating patients. We had the great privilege to present to TWIML&AI’s monthly meetup group for June 2018 to lead a walkthrough of “Cardiologist Level Arrhythmia Detection with CNNs”. TWIM&AI’s Sam Charrington hosts a […]
IntelliHQ Director, Dr Brent Richards, presented at the Brisbane.AI Meetup on Thu 8th February 2018. This presentation provides an insight into recent AI and machine learning research, and explains the IntelliHQ vision and activities.
Our inaugural Intelligent Health Innovation Showcase, on 24 Oct 2017, was a huge success with over 250 attendees coming from Qld Health, startups, industry, students and researchers. A new device found in some Gold Coast homes could now be used to save lives.#9News | http://9News.com.au Posted by 9 News Gold Coast on Friday, 20 October […]
“The world’s most valuable resource is no longer oil, it’s data“. This statement is accepted in many industry segments, with many companies building strong futures on data. For them, services are often given away for free or below acquisition cost, as the value in the data collected and it’s secondary use is where the greatest […]
To date awareness of the current and growing capabilities of AI has barely penetrated the busy world of Healthcare. As such the opportunities to improve both the effectiveness and productivity of the Healthcare system remain visible to very few – despite a number of commentators publicly stating that the Return on Investment of AI in […]
We will run an Innovation showcase in October. This will run across 2 days, hosted by GCHHS, involving eHealth Queensland, Advance Queensland, our University partners (Griffith, UQ, Bond, Southern Cross, Curtin), startups and industry partners. The programme remains broad and flexible. We will have strategic presentations from key people from organisations above, outlining both the […]
The capability of artificial intelligence is rapidly advancing with many industries benefiting from this. However to date the Health industry remains a laggard, with only small pockets of adoption despite considerable access to good quality data. In part this is due to the natural and understandable risk adversity of the Health system, in part due […]