Hazel Tang A science writer with data background and an interest in the current affair, culture, and arts; a no-med from an (almost) all-med family. Follow on Twitter.
One of AIMed’s flagship events of the year – AIMed Australia, will take place between 12 and 13 November in Hilton Sydney. This is the first time AIMed places ourselves on the other end of the globe and partners with Best Case Scenario (BCS), a leading events management company based in New South Wales, to spread the mission of bringing about a revolution that embraces a new paradigm of medicine and healthcare propelled by artificial intelligence (AI) and related new technologies.
The upcoming AIMed webinar in Australia
Before AIMed reveals more about the programs and guest speakers for AIMed Australia, the platform will be hosting a brand-new webinar on 1 November 12 noon (Australian time), entitled “How does Australia’s AIMed readiness compare to the rest of the world?”
AIMed Founder and Chairman, Pediatric Cardiologist, and Chief Intelligence and Innovation Officer of Children’s Hospital of Orange County (CHOC) Dr. Anthony Chang, will be speaking at the session. Joining him is Dr. Steve Hambleton, General Practitioner, Adjunct Professor at the University of Queensland, Digital Health CRC board member and leading e-health advocate in Australia. The webinar will be moderated by radio host Alexi Boyd, who will compare and contrast Australia’s readiness of AI in medicine and healthcare with the rest of the world.
Key discussion topics
The webinar will be discussing some of the key themes that had emerged from the recent AIMed Europe, which motivates audience to think beyond the present AI hypes and assess new technologies realistically. For example, data conundrum remains an impediment to AI development, as most health data are either hard to obtain or they are not properly processed to be of use to generate AI algorithms.
Likewise, even if great algorithms that can accurately predict diseases are being created, they do not necessarily translate to a change in disease outcomes or patients’ behavior. Like the way telling a patient he or she has a higher chance of getting diabetes is not going to change how the patient behaves unless it is coupled with an executable intervention.
As such, how to integrate medical knowledge and not just mere reliance on big data, should be part of AI in medicine. Besides, regardless of whether the AI hype may fade off one day, it remains crucial to integrate it into the present medical education, so that the new generation of medical professionals are equipped to deal with the next new technology wave.
Registration for this webinar is now open, you may wish to indicate your interest here or follow us on Twitter, Facebook, Instagram, YouTube and LinkedIn for the latest event updates.
Author Bio
A science writer with data background and an interest in the current affair, culture,
