Show Notes
It's no secret that AI is enhancing efficiency across nearly every industry in the world today. Unsurprisingly, that includes dentistry and pathology detection. Khoa Le is the founder and CEO of Eyes of AI, which leverages the power of technology to detect, analyze, and diagnose dental X-Ray images. In this episode, he shares his story, from building his skillset to establishing the idea for Eyes of AI and serving his client base today. We touch on preparation and tracking results, discuss the tumultuous waters of navigating ethics and privacy, and explore the benefits of bringing such a high level of accuracy to differential diagnosis. Khoa gets candid about some of the biggest challenges he has faced while building his company and offers his perspective on the growing influence of AI in Australia and beyond. In closing, he shares his thoughts on the human element of the medical industry and why it will always be necessary. Tune in today to hear all this and more! Key Points From This Episode: Khoa Le's career trajectory which led to the founding of Eyes of AI.
How Eyes of AI leverages the power of technology for detection, analysis, and diagnosis of dental X-Ray images.
What Eyes of AI client base largely consists of.
Forming the idea for the product.
The company flagship: 3D images.
Preparation and results.
Navigating ethics and privacy by using de-identified data.
Benefits of the 95% accuracy.
What the output provides and why it cannot be considered a final diagnosis.
The biggest challenges Khoa has faced in getting Eyes of AI off the ground.
His perspective on how the AI industry is growing in Australia.
Why a personal connection will always be relevant to the medical field.
Links Mentioned in Today's Episode: Khoa Le on LinkedIn Eyes of AI on Instagram Eyes of AI Eyes of AI Journal Natalie Rouse on LinkedIn Dr Kobi Leins Dr Kobi Leins on LinkedIn Dr Kobi Leins on Twitter Eliiza
More from AI Australia Podcast
Most organisations treat AI governance as the thing that slows innovation down. Luli Adeyemo believes the opposite is true.
As part of our Aussie Start-Up Series we talk to Jo Thomas, founder of Enrola an AI sales agent platform helping B2C sales teams convert more leads into customers. Jo and her co-founder have built an AI sales agent that her own customers now refer to by name, and love. In this episode, she breaks down the maths behind why a $80,000-a-year employee might only be delivering $15,000 of real value, why AI works best as an amplifier for humans rather than a replacement, and where she draws a hard line: no AI should be helping someone choose their health insurance or their degree. A clear-eyed look at where automation earns its place, and where it doesn't.
Everyone's convinced AI is coming for engineering jobs. Tom Goerke, National President of Engineers Australia, thinks that fear is almost exactly backwards, and he's got 19th-century coal miners to prove it. In this episode, Tom unpacks Jevons' paradox: the counterintuitive economic pattern where making something more efficient doesn't reduce demand for it, it explodes it. He walks through what that means for software engineers right now (spoiler: more code is being written than ever, and more bugs with it), why "coders are the typists of the '70s," and why the real crisis isn't job losses, it's a widening skills gap between engineers who've mastered AI and everyone else. We also cover the one stat that stopped us in our tracks: 66% of engineers have had zero formal AI training from their employer.
Lee Hickin has spent 30 years at the frontier of technology, from IBM and AWS to serving as CTO of Microsoft Australia. Now, as Executive Director of the National AI Centre, he's asking a confronting question of every boardroom in Australia: when the risk and the opportunity depends on AI, who in the room is actually the expert?
Before ChatGPT changed everything, Arvind Jain was already four years deep into solving a problem every knowledge worker knows but no one had fixed: why is it so impossible to find anything at work? In this episode, the CEO of Glean, the enterprise AI platform used by some of the world's most iconic companies, takes us inside the founding story that started not in a garage, but in the wreckage of hypergrowth. When his previous company grew from 500 to 2,000 people in a single year, things started to break. Software releases stalled, teams lost each other, and the lowest-scoring question in their employee survey? Do I have the information I need to do my job? That moment of failure became a billion-dollar idea. Arvind opens up about his time in the early days of Google, co-founding Rubrik, and then walking away from success, again to build something that didn't exist yet. This one is for anyone who's ever wasted an afternoon searching for a file that should have taken 30 seconds to find.