Michael Nakagawa
Research Algorithm & AI Engineer Philips
A Research, Algorithm, and AI Engineer at Philips Healthcare, he brings over two decades of experience spanning emergency care, patient monitoring, and innovation strategy. He specializes in ECG analysis, AI-driven algorithm development, software systems architecture, FDA submissions, and verification and validation, advancing clinically robust, regulatory-compliant healthcare technologies.
Seminars
Wednesday 22nd July 2026
Panel: Proving AI Safety Through Robust Validation Beyond Performance Metrics
12:15 pm
- Understand why AUC, sensitivity, and specificity are insufficient to demonstrate clinical safety
- The “no gold standard” problem: disagreement among clinicians as a validation challenge
- Identifying bias, edge cases, and underrepresented populations in training/testing data
- Integrating AI validation with risk management, V&V, and regulatory evidence expectations
Wednesday 22nd July 2026
Managing AI Model Evolution While Maintaining Regulatory Control
9:45 am
- Recognize risks introduced by model drift, data drift, and real-world performance degradation
- Identify and manage governance challenges with rapidly iterating AI versions and generative tools
- Learn monitoring strategies for “unlocked” or adaptive models in the post-market phase
- What performance, safety, and usage signals regulators increasingly expect teams to track
