Why AI in health care needs stronger testing before clinical use

Health care executive Max Rollwage discusses his article "The promise and perils of AI in health care: Why we need better testing standards." Max highlights the risks of relying on AI systems that are evaluated through artificial scenarios or even other AI models, emphasizing the dangers of circular validation in high-stakes environments like emergency care. He discusses why true readiness requires real-world clinical trials, expert human evaluation, and impact studies on patient outcomes. Max also points to the role of regulators like the FDA and AI Safety Institutes in setting higher standards, and he offers practical insights on how the medical community and technology developers can ensure safe and effective AI deployment. Listeners will come away with a clearer understanding of both the promise and the perils of AI in medicine, and what it will take to responsibly bring these tools to the bedside. Our presenting sponsor is Microsoft Dragon Copilot. Want to streamline your clinical documentation and take advantage of customizations that put you in control? What about the ability to surface information right at the point of care or automate tasks with just a click? Now, you can. Microsoft Dragon Copilot, your AI assistant for clinical workflow, is transforming how clinicians work. Offering an extensible AI workspace and a single, integrated platform, Dragon Copilot can help you unlock new levels of efficiency. Plus, it's backed by a proven track record and decades of clinical expertise, and it's part of Microsoft Cloud for Healthcare, built on a foundation of trust. Ease your administrative burdens and stay focused on what matters most with Dragon Copilot, your AI assistant for clinical workflow. VISIT SPONSOR → https://aka.ms/kevinmd SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended