🤖 How to generate clinical evidence for AI

Summary

• A concise, expert-led guide to help healthtech innovators understand how to generate credible clinical evidence for AI solutions.

What this carousel covers

• The difference between model evidence and solution-level evidence
• How to map different types of evidence to the AI product lifecycle
• The role of clinical simulation and real-world studies in validating AI tools
• The growing importance of economic evidence in health system decision-making

Key takeaways

• Evidence must go beyond accuracy — it should show real-world clinical and economic impact
• Simulation studies are a powerful tool to generate early evidence safely and efficiently
• Real-world evidence (RWE) is essential for long-term credibility and regulatory confidence
• Healthtech innovators should proactively plan their evidence strategy across all development stages

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