5/17/25 S11 E2775 - NIUSHA SHAFIABADY - AI IS BETTER AT DIAGNOSING CANCER THAN A DOCTOR?

5/17/25 S11 E2775 - NIUSHA SHAFIABADY - AI IS BETTER AT DIAGNOSING CANCER THAN A DOCTOR?

Ever wondered if robots might outsmart doctors? This episode of American Medicine Today, hosted by Kimberly Bonati and Ethan Youker, tackles the hot topic of artificial intelligence in cancer diagnosis. Niusha Shafiabady, an Associate Professor at Australian Catholic University, joins the conversation, revealing how AI is stepping up its game in detecting cancer with a staggering 99.26% accuracy. The discussion kicks off with a sceptical yet curious look at AI's potential to outperform trained human eyes.

Shafiabady explains how her team has developed a neural network model that enhances image quality, focusing on crucial areas rather than the entire picture. The episode takes a deep dive into the workings of this AI model, shedding light on its ability to highlight important sections of images—like a digital Sherlock Holmes—and its rigorous testing across multiple databases. But what does this mean for the future of healthcare?

Shafiabady shares plans for commercialising the model, hinting at its potential to revolutionise disease detection beyond cancer. The conversation also touches on the broader implications of AI in medicine, from mapping treatments to the speed and accuracy that AI offers. While AI shows promise, Bonati and Youker remind us that it’s not about replacing doctors but enhancing their capabilities. If you're intrigued by how technology might reshape healthcare, this episode offers a fascinating glimpse into what's possible.

Could AI be the key to catching diseases earlier and more accurately? Tune in to find out!