Live Demos
Healthcare-specific LLM’s are More Accurate than General-purpose LLM’s
Clinical Note Summarization
is 30% more accurate than BART, Flan-T5 and Pegasus.
Clinical Entity Recognition
John Snow Labs’ models make half the errors that ChatGPT does.
Extracting ICD-10-CM Codes
is done with a 76% success rate versus 26% for GPT-3.5 and 36% for GPT-4.
Ask Questions
that Medical Professionals Care about
Answering Clinical Questions
Answering Biomedical Questions
Train On Your Own Data
- Load All Data: The Multi-Modal systems accepts structured data, unstructured text, PDF documents, and custom data formats.
- Freshness: Always ensure your users get the latest answers. Update documents in near-real-time without retraining the whole system.
- Scale: Ready to process millions or billions of documents. Scale the cluster to fit your needs.
Add Industry Data
Pre-load the knowledge base and pre-train the model with 2,300+ reference datasets curated by medical domain experts – including hundreds of terminologies, medical research, clinical trials, patents, population health, cost, public and regulatory data.
Expert curated
Always up to date
Clean & validated
Get Started
The Medical Chatbot is delivered as a 12-week implementation project that includes:
Installation & configuration of a cluster on your own infrastructure
Data integration, processing, and knowledge base creation
Instruction tuning of the large language models to your prioritized tasks
