395- When AI Makes Healthcare Mistakes Lives Are Lost w/Sandeep Shenoy

Sandeep Shenoy has spent seventeen years integrating AI into medical devices at Viant Medical. He's not anti-AI. He builds it every day. But he's watched the industry rush to deploy systems trained on data sets that were never designed to be fair.The problem isn't the technology. It's the history baked into the data. "When AI makes a mistake in finance, you lose money. When it makes a mistake in healthcare, you could lose a life." Early fitness trackers failed to read female heart rate patterns because of biased training data. That already happened.We get into bias audits as continuous process, fairness by design principles, and accountability frameworks. Plus why ethics needs to move out of the compliance box and into business value.The uncomfortable truth: patients have zero say in how these devices work. They just know a doctor told them they need it. By then, discrimination might already be built in.