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Go from “curious about AI” to “confident in AI.” Your path starts here: https://www.umerkhanmd.com/buy_videop... What if you could trace exactly how an AI made a medical decision? That’s the power of decision trees—AI systems that make choices step by step, just like doctors and nurses follow clinical protocols every day. In this session, you’ll learn: ✅ What decision trees are and how they mirror medical flowcharts. ✅ Real-world examples: chest pain triage, cancer screening, sepsis protocols, vaccination schedules, and more. ✅ Why decision trees bring transparency & trust to AI—patients and providers can follow the exact path of reasoning. ✅ The advantages: easy to understand, regulatory-friendly, builds patient confidence. ✅ The limitations: simple trees may miss subtle clinical nuances, while complex ones can be harder to explain. ✅ Why YOU, the human in the loop, are still essential—AI guides, but clinicians must adapt decisions to each patient’s unique context. Healthcare professionals already run through decision trees in their minds every day. Now, AI can replicate and scale that process—but it still needs your oversight. By learning how decision trees work, you’ll be ready to evaluate AI tools, question vendor claims, and ensure safe, patient-centered adoption. 👉 Watch the video, and join my series on “Becoming the Human in the Loop in Healthcare AI”—because AI won’t replace clinicians, but clinicians who use AI will replace those who don’t.