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Medical Language Models
Python libraries and 2,000+ models for data scientists
Medical Chatbot
Get explainable answers from Healthcare-GPT on public or private data
Generative AI Lab
Train, tune, and share custom AI models without coding
Spark NLP
State-of-the-art natural language processing at scale
Solutions
Managed services
Create Patient Cohorts
Use Medical Generative AI to Answer Patient Questions from Raw Clinical Data
De-Identification
Anonymize and obfuscate structured, free text, and imaging data with over 99% accuracy
Patient Risk Adjustment
Automate patient risk adjustment and HCC Coding from clinical notes
Regulatory-Grade Data Abstraction
Automatic & faster data abstraction, with a human in the loop
TURNKEY SOLUTIONS
Responsible AI with LangTest
Deliver safe and effective language models, by generating and running 100+ test types
Medical Knowledge Graphs
Build a longitudinal view of the patient, connecting noisy & diverse data sources
Adverse Drug Event Detection
Detect adverse drug events from unstructured clinical records, transcripts, and messages
Clinical Decision Support
Predict patient risk based on a holistic view of the entire medical record
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John Snow Labs Achieves CarbonNeutral® Certification for 2024, Championing …
Generative AI in Healthcare: Use Cases, Benefits, and Challenges
The Power of Small LLMs in Healthcare: A RAG Framework Alternative to Large…
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State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.
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Spark NLP for Healthcare 2.7: Higher Accuracy Clinical Entity Recognition & Entity Resolution, new Biomedical NER models, PICO classifier & More
by
Veysel Kocaman
Spark NLP for Healthcare 2.7 is out and available now! If you’re an existing customer,...
John Snow Labs Announces State-of-the-Art Automated Adverse Drug Event Recognition and Classification at the Inaugural NLP Summit
by
Veysel Kocaman
First clinical pre-trained classifier for ADE and new NER model make Spark NLP for Healthcare...
Automated de-identification of medical documents & images
by
Alina Petukhova
Using Spark NLP to build a drug discovery knowledge graph for COVID-19
by
Dominika Garczynska
Build powerful patient cohorts for population analysis using unstructured healthcare data
by
Ida Lucente
Go beyond structured clinical codes or claims data to analyze the patient population. Leverage the high-value data within clinical documentation, text, and PDFs to build deeper and more accurate patient...
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