This product is designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. It provides a ready-to-use Jupyter Hub deployment that can be used to run the John Snow Labs Python library for Healthcare Language Understanding and Visual Language Understanding. The software is designed for data scientists, software developers, and researchers who need to understand unstructured text such as clinical notes, radiology reports, research papers, clinical trial protocols, voice-of-the-patient surveys, and lab or sequencing reports - with state-of-the-art accuracy. There is no limit on the number of documents, models, or pipelines that can be used with this subscription: the software is licensed on a pay-as-you-go basis.

What is included :

• John Snow Labs Healthcare Language Understanding Python library, including access to 2,000+ healthcare-specific models covering common tasks like entity recognition, relation extraction, resolving entities to medical terminologies, de-identification, text summarization, question answering, spelling & grammar correction, assertion status detection, embedding calculation, and more.
• John Snow Labs Visual Document Understanding Python library, which provides the ability to read PDF, DOCX, DICOM, and various image file formats and automatically extract text, tables, charts, and key-value pairs from forms, using state-of-the-art multimodal models.
• Full access to all models and pipelines published on the NLP Models Hub (currently 1,200+ healthcare-specific models and 17,500+ general models).
• 30+ Ready-to-use Jupyter notebooks that will help you get started with text and image analysis on all major NLP tasks such as text classification, sentiment analysis, named entity recognition, relation extraction, assertion status, entity linking, de-identification, translation, summarization, question-answering, spelling and grammar.
• Support directly by the data scientists and medical doctors who build the software, as well as access to all new software releases, model updates, and documentation during the subscription period.

Key Features:

• Keep up with the state of the art: With new releases every two weeks, our main commitment is to not only provide you with the best accuracy today, but continuously productize newer and better models as they are invented - so that you are always running the most accurate healthcare-specific AI models in history.
• Extract deeper medical information: Going beyond the standard of extracting symptoms, treatments, drugs, and anatomy, the included models can extract 400+ medical entities from free-text documents. These include specialized models for oncology, radiology, mental health, pathology, public health, social determinants of health, adverse events, risk factors, and more.
• Compose, train, and fine-tune your own models: Compose multiple models into custom pipelines, use transfer learning to train or fine-tune models on your own private data, or use zero-shot learning with prompts, all with a few lines of Python code.
• Pay as you go: Only pay for what you use, making the software cost-effective for projects of all sizes, from small-scale research to enterprise-level deployments. Billing is by CPU/hour, not by token, making the software highly cost-effective for large-scale projects. Who is this product for:
• Python developers who need to understand, summarize, de-identify, or extract information from medical text or visual documents
• Data scientists in healthcare or life science who build NLP, LLM, or Generative AI solutions
• Machine learning engineers who need to train, tune, test, or combine LLM & NLP models
• Researchers who need to extract information from unstructured, natural language documents
• Software teams building production-grade solutions for understanding and harmonizing clinical, biomedical, patient voice, or other medical information that is coming from text or visual forms

About the Subscription By subscribing to the Medical Language Models Hub product, you get access to a preconfigured private Jupyter Lab account containing ready-to-use Jupyter notebooks built for the most popular Healthcare NLP & LLM library in the healthcare and life science industry. You automatically get a pay-as-you-go license key that can be used in the notebooks. You only pay for the time any of the notebooks are running NLP processes, based on the number of processors allocated to your Spark session.