John Snow Labs prepares data for healthcare AI for 500+ enterprise customers. We take raw, unstructured, multimodal, PHI-heavy healthcare data — clinical notes, pathology reports, radiology reports, DICOM images, FHIR bundles, scanned PDFs — and make it ready for downstream AI applications.
Our production stack covers Medical LLMs, Healthcare NLP, multimodal de-identification, OMOP data harmonization, terminology services (SNOMED, ICD-10, RxNorm, LOINC), no-code annotation (Generative AI Lab), and Patient Journey Intelligence, purpose-built for the accuracy, compliance, and scale regulated clinical environments require.
This is regulatory-grade healthcare AI, deployed inside the customer's own environment and backed by peer-reviewed, independently validated results.
Medical LLM
Generative AI models excelling in clinical text summarization, information extraction and question answering.
Healthcare NLP
3000+ small language models for de-identification and data curation from clinical & biomedical text.
De-identification
Anonymize and obfuscate tabular, free text, FHIR, PDF, DICOM, and SVS files with regulatory-grade accuracy.
Patient Journey Intelligence
Automatically integrate multimodal, longitudinal, and messy clinical data into a unified OMOP data model.
Data Curation
Automate and scale the creation of accurate patient registries, cohorts, quality measures, and analytics from clinical documents.
80+ Public Case Studies of Real-world Implementations
- Lessons Learned De-Identifying 700 Million Patient Notes with Spark NLP, Providence
View Case Study - Empowering Healthcare through NLP: Harnessing Clinical Document Insights at Intermountain Health, Intermountain Health
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30+ Peer-reviewed Papers and Patents Establishing State-of-the-art Accuracy
- "Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data" - AMIA 2021 Annual Symposium
View Paper - "Exploring NER Potential and the Value of Tailored NLP Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study" - JMIR AI, 2025
View Paper - "CLEVER: Clinical Large Language Model Evaluation by Expert Review" - JMIR AI, 2025
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Recent Press Releases
- John Snow Labs Ranked Highest in the MarketsandMarkets™ 360Quadrant for NLP in Healthcare and Life Sciences
Read Press Release - John Snow Labs Honored with the 2026 Frost & Sullivan Customer Value Leadership Award in the Healthcare Large Language Models Industry
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