Mide-950 【SECURE】

| Challenge | Description | Mitigation | |-----------|-------------|------------| | | FDA, EMA, and other bodies require extensive validation of AI‑driven diagnostics. | Adopt a pre‑market AI/ML SaMD pathway, conduct multi‑center prospective trials, and implement continuous post‑market monitoring. | | Data Privacy | Aggregating multimodal patient data raises HIPAA/GDPR concerns. | Employ differential privacy techniques, on‑device encryption, and strict role‑based access controls. | | Model Generalizability | AI models trained on high‑quality data may underperform in resource‑limited settings. | Use federated learning to adapt models locally without moving raw data to the cloud. | | Interoperability | Legacy equipment may lack compatible interfaces. | Provide a universal adapter layer (USB‑4, Thunderbolt 4, and custom analog front‑ends) with auto‑negotiation protocols. | | User Acceptance | Clinicians may distrust black‑box AI outputs. | Implement explainable‑AI (XAI) visualizations (e.g., Grad‑CAM overlays) and allow clinician‑in‑the‑loop adjustments. |