The future of healthcare AI isn’t just about building models — it’s about building guardrails for safety and pipelines for continuous improvement. A three-part blog series with Wale Akinfaderin, Priya Padate, and Ekta Walia that explores how fine-tuning, RAG, and LLM-as-a-judge methodologies are reshaping radiology report summarization — a critical task for clinical decision-making.

1. Fine-Tuned LLMs on Amazon SageMaker for domain adoption
2. Retrieval Augmented Generation (RAG) with Amazon Bedrock that outperformed zero-shot prompting
3. LLM-as-a-Judge using Bedrock ensuring trustworthy, hallucination-free results in high-stakes scenarios