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PR is survival: build tools to provide your users clarity for better judgment, not to replace human roles.
#HeatlhcareAI #MedicalAI #TMCAISummit

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The cost of disruption: lesson 1 - manage the disruptions, don’t just build it.
#HeatlhcareAI #MedicalAI #TMCAISummit

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Up next at the 2026 TMC AI Summit are a couple of presentations on Design Your Own AI Startup 101. #HeatlhcareAI #MedicalAI #TMCAISummit

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Even once we verify that data is sound, and we can integrate AI without negatively impacting workflows, we should ask: is it fair, is it transparent and is it accountable?
#HeatlhcareAI #MedicalAI #TMCAISummit

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What does the future of successful deployment look like? From a model to a living system. Essential artifacts to now include dataset documentation and more.
#HeatlhcareAI #MedicalAI #TMCAISummit

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Common AI Data Failure Modes…
Data leakage, shortcut learning, distribution shift, label noise & unclear accountability.
#HeatlhcareAI #MedicalAI #TMCAISummit

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Five Questions to decide AI data readiness…
1. Fit for purpose data
2. Label quality
3. Validation design
4. Robustness
5. Monitoring & drift
#HeatlhcareAI #MedicalAI #TMCAISummit

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MSBMI faculty member Xiaoqian Jiang, PhD, is speaking on Navigating Frontiers in AI for #Health. #HeatlhcareAI #MedicalAI #TMCAISummit

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