BRIDGE

We invite the submission of papers for topics related (but not limited to):

• Robust evaluation methods and regulatory frameworks for AI-enabled medical devices
• Studies revealing disconnects between AI development, evaluation metrics, and regulatory requirements
• Theoretical or empirical analyses of gaps in current medical-AI evaluation practices
• Algorithmic approaches designed for regulatory alignment from the outset
• Position or perspective papers on open problems, negative results, or flawed practices affecting patient safety
• Evaluation and regulation of generative AI, LLMs, and autonomous systems, and emerging technologies
• Post-market monitoring strategies to ensure ongoing safety and effectiveness
• Empirical assessments of AI readiness for real-world clinical deployment
• Under-explored regulatory questions with direct patient-safety implications
• Comparative studies of regulatory pathways for AI-based medical devices across regions (e.g., EU, US, Asia)
• Perspectives on collaborative frameworks that facilitate global regulatory alignment and innovation-friendly evaluation
• Frameworks for monitoring AI performance in the real world
• Best practices for deploying continual learning systems under regulatory constraints
• Studies addressing model drift, safety updates, and long-term monitoring strategies
• Development of novel benchmarking tools, simulation platforms, or digital twins to support pre-market evaluation
• Methods for aligning explainable AI (XAI) outputs with clinical interpretability and regulatory expectations
• Studies on integrating clinical validation and end-user feedback in algorithm evaluation
• Translational and lifecycle challenges, including case studies of research-to-clinic success or bottlenecks
• Perspectives on early regulatory engagement strategies for startups, academics, and consortia
• Comparative regulatory science across countries: lessons for global alignment