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Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

In this notebook, RoBertaForQuestionAnswering was used for versatile Named Entity Recognition (NER) without extensive domain-specific training. This blog post walks through the ZeroShotNerModel implementation and explores its ability to adapt...

Leveraging TextMatcherInternal for Precise Phrase Matching in Healthcare Texts The TextMatcherInternal annotator in Healthcare NLP is a powerful tool for exact phrase matching in healthcare text analysis. We’ll cover its...

This blog post compares RxNorm code mapping accuracy and a price analysis between John Snow...

Boosting Efficiency and Accuracy in Healthcare NLP Tasks Using Healthcare-Specific Fine-Tuned LLMs and New Medical Assertion Detection Frameworks Highlights Introducing a brand new LLMLoader annotator to load and run large...

ChunkConverter unifies regex and NER entity extractions in Spark NLP pipelines by converting regex chunks to a standard chunk format with entity labels, enabling integrated downstream processing. What is ChunkConverter?...