Discover how Pretrained Zero-Shot Named Entity Recognition (NER) models simplify the recognition of entities in multiple domains with minimal configuration. Recent advancements in pretrained zero-shot NER models and their ease in being applied across different datasets and applications are described in the article.
Why Is the Shift from Knowledge Recall to Clinical Reasoning Crucial in Healthcare AI? John Snow Labs has been at the forefront of healthcare AI, consistently developing state-of-the-art language models...
The new models are optimized specifically for clinical reasoning, can verbalize their chain of thought, and apply medically recommended planning and decision-making processes John Snow Labs, the AI for healthcare...
Contextual Entity Ruler in Spark NLP refines entity recognition by applying context-aware rules to detected entities. It updates entities using customizable patterns, regex, and scope windows. It boosts accuracy by...
De-identification is the process of removing or masking sensitive, personally identifiable information from data, particularly in medical records. This is crucial to protect patient privacy and comply with regulations like...
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