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...
John Snow Labs' Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to...
Clinical documentation is essential for patient care but remains a major administrative burden for healthcare providers. This session explores how AI‑driven automation can generate structured SOAP (Subjective, Objective, Assessment, and...
The convergence of artificial intelligence and wearable healthcare devices is revolutionizing patient care by enabling continuous monitoring, early disease detection, and personalized interventions. This presentation delves into the transformative potential...
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