• Integrating clinical evidence generation into MedTech R&D from concept through post-market deployment
• Applying AI and advanced analytics to reduce variability, improve decision-making, and accelerate responsible innovation
• Leveraging real-world data from connected devices to monitor performance, manage risk, and drive continuous improvement
• Designing AI-enabled products that align software, workflow, and clinician trust to deliver measurable clinical value
• Establishing governance models for AI/ML-enabled devices that balance rapid iteration with MDR and global regulatory expectations