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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

Why must medical‑AI systems be engineered for compliance and beyond? The EU AI Act classifies many healthcare AI systems; especially diagnostics, clinical decision support and device‑embedded AI as high‑risk, with extensive obligations...

Why is cancer registry automation no longer optional? Cancer registries underpin oncology research, population health, clinical trials and value‑based care. Yet many registries remain manual, with certified tumor registrars (CTRs)...

What is De-Identification in Medical Images? Healthcare organizations generate and manage enormous amounts of sensitive patient information from hospital records and clinical notes to high-resolution medical images that capture intimate...

Every year, health plans invest massive time and resources trying to close quality gaps before the reporting deadline. Teams chase medical records, manually abstract charts, and reach out to members...

As healthcare organizations increasingly adopt Large Language Models (LLMs) and Vision Language Models (VLMs) for clinical applications, the question of “how to deploy these models securely and efficiently” becomes critical....