Dev Team Fixes Memory Leak and AI Instability in Clinical Health Suite

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A real-time clinical AI health platform experienced severe frontend degradation during load testing, with CPU usage hitting 98%, heap memory exceeding 1.4 GB, and frame rates dropping to single digits. The root cause was identified as an infinite state loop where each telemetry frame triggered repeated component re-renders, accumulating thousands of orphaned event listeners. Using Sentry's performance monitoring, engineers traced over 14,000 React update-depth exceptions and canvas memory allocation warnings exceeding 64 MB per second. A targeted fix using React's useRef and useEffect hooks eliminated the memory leak, restoring heap usage to 42 MB and frame rates to 60 FPS. The team also upgraded to Google's Gemini 2.5 Flash with strict JSON response schemas, achieving 100% schema validation and eliminating AI hallucination drift.

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