Central to Ali's perspective is the necessity of diverse data. "Most of the machine learning models were based on 65-year-old white males," he explained. "So the previous data may not represent the cohort that you're trying to apply these models to." This imbalance extends to data management and integration. "There's death by data," Ali said. "Accurate data is key. MD doesn’t just mean medical doctor; it means make decisions."Ali called for agnostic, interoperable dashboards that integrate with existing EMRs. Without this, providers face a flood of data with little guidance on clinical relevance. He cited a Nature Medicine article that examined 500 AI tools in healthcare. "Over half of those AI models approved by the FDA did not have publicly available clinical validation data," he said. "Just because you have clearance does not equate to real outcomes." For more information visit here: https://www.lsiusasummit.com/news/cardiac-wearables-the-next-era-of-predictive-personalized-care