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Medical LLM
Generative AI models exceling in clinical text summarization, information extraction and question answering
Healthcare NLP
2,500+ small language models for de-identification and data curation from clinical & biomedical text
Generative AI Lab
Implement Human-in-the-loop workflows for regulatory-grade AI without coding
Terminology Server
Semantic mapping of medical phrases to standard or custom code systems, concept maps, and value sets
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De-identification
Anonymize and obfuscate tabular, free text, FHIR, PDF, DICOM, and SVS files with regulatory-grade accuracy
Data Curation
Automate and scale the creation of accurate patient registries, cohorts, quality measures, and analytics from clinical documents
Patient Journey
Automatically integrate multimodal, longitudinal, and messy clinical data into a unified OMOP data model
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Benchmarking Medical vLLMs: 10 Clinical Use Cases for Automated Document Understanding
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Applying Natural Language Processing to Healthcare Text at Scale
by
Dominika Garczynska
Uncover patient insights buried in medical text with solutions from John Snow Labs and Databricks
Speed Optimization & Benchmarks in Spark NLP 3: Making the Most of Modern Hardware
by
Maziyar Panahi
Spark NLP is the most widely used NLP library in the enterprise, thanks to implementing production-grade, trainable, and scalable versions of state-of-the-art deep learning & transfer learning NLP research. It...
Spark NLP 3.1: 2600+ new models and pipelines in 200+ languages and new DistilBERT, RoBERTa, & XLM-RoBERTa transformers
by
Maziyar Panahi
We are very excited to release Spark NLP 3.1 today! This is one of our...
State of the art emotion and sentiment analysis with Spark NLP (Data science Salon)
by
Dia Trambitas, Ph.D.
State of the art emotion and sentiment analysis with Spark NLP (Data science Salon)
Advancing the State of the Art in Applied Natural Language Processing
by
David Talby
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