Artificial intelligence (AI) is a hot topic in healthcare, sparking ongoing debate about ethical, clinical and financial pros and cons. Complex algorithms will soon help clinicians make accurate determinations about health from large amounts of information. While this future might seem alarming to some, it’s one we must prepare for.
Last year, the Centre for Healthcare Knowledge and Innovation invited 130 computer engineers, data scientists, doctors, nurses, students, educators, public health officials, industry and government to come together to explore AI as a spectrum. This year, Artificial Intelligence in Healthcare will explore the need for ethical and responsible AI and the importance of humanising machine intelligence.
- When: Saturday 21 September 2019
- Where: Building C, Southern Cross University Gold Coast Campus
Participants will:
- Meet a range of AI disrupters and enablers and gain valuable insight into their work
- Identify where AI is most disruptive and where it can make the most impact
- Explore current uses of AI as well as its possibilities
- Consider ethical and responsible AI when deploying systems for clinical purposes
- Separate the hype from what’s really happening in the field
Here’s what attendees had to say about last year’s symposium…
- “Loved the diverse range of speakers and audience. I made some great connections and I feel more comfortable about the use of AI in healthcare. Here’s to a not-so-scary future!”
- “Fact from fiction, hype vs reality. It was great to hear what’s really happening in Australia and how we can be advocates for tech in clinical decision support.”
- “I wasn’t sure about giving up a Saturday but it was well worth it. A very enlightening experience in a state-of-the-art venue. I enjoyed networking with likeminded people.”
Topics include:
- Transforming healthcare delivery – what’s happening in the field
- Investment and market growth
- Ethical principles for the use of AI in medicine
- Humanising machine intelligence for meeting emotional healthcare needs
- Social robots for mental health treatment
- Big data and social media analysis
- Synthetic chemists and AI vaccine design