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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
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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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Automating Literature Reviews: Streamlining Medical Research with AI
Accurate Extraction of Cancer Biomarkers from Free-Text Clinical Notes
Generative AI in Healthcare: Use Cases, Benefits, and Challenges
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November 13
02:00 P.M | ET
De-Identification of Medical Images in DICOM Format
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John Snow Labs NLU 1.1 release adds 720+ new NLP models, 300+ supported languages, translation, summarization, question answering, and more!
by
Christian Kasim Loan
We are incredibly excited to release NLU 1.1! This release integrates the 720+ new models...
Auto NLP: Pretrain, Tune & Deploy State-of-the-art Models Without Coding
by
Dia Trambitas, Ph.D.