Medical AI Analyst & Trainer
As a Medical AI Analyst & Trainer, I rigorously reviewed AI-generated medical outputs for clinical accuracy and adherence to guidelines. This involved using human feedback (RLHF) to reinforce correct diagnostic results and suggesting improvements for hallucination suppression. I validated prompts and model responses, ensuring alignment with ICD-10 and SNOMED-CT standards. • Identified and corrected diagnostic errors in AI clinical reports. • Refined AI models by providing expert feedback based on evidence-based medicine. • Performed continuous model validation against evolving medical standards. • Utilized advanced prompting tools for Medical AI evaluation.