Deep dives into clinical AI, patient outcomes, and healthcare innovation
Why we chose Reinforcement Learning from Human Feedback over Direct Preference Optimization for clinical safety. Exploring reward modeling with expert annotations and PPO convergence.
Results from 200+ beta patients show dramatic improvement over baseline. How plain language translation improves health literacy, medication adherence, and patient outcomes.
How we achieved <1.8s P95 latency with vLLM, custom CUDA kernels, and GPU cluster orchestration. Engineering clinical response times.
From 92% hallucination rate to 12%. How real-time fact validation, clinical guideline integration, and expert review transformed AI safety.
How we generated unlimited labeled training data from MIMIC-IV while maintaining strict privacy. De-identification pipelines and synthetic data validation.
Patients who understand their diagnosis have higher medication adherence, fewer ED visits, and better long-term health. How AI-powered translation bridges the literacy gap.