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Medical LLM
Generative AI models exceling in clinical text summarization, information extraction and question answering
Healthcare NLP
Python libraries and 2,000+ medical language models for information extraction and de-identification from clinical & biomedical text
Generative AI Lab
Train, tune, and share custom language models without coding
Medical Chatbot
Get explainable answers from Healthcare-GPT on public or private data
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Managed services
Build Patient Journeys
Summarize patient histories and build cohorts from raw multi-modal 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
Medical Chart Review
Extract clinical codes, risk factors, and prior auth answers from clinical notes
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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April 1-2, 2025
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Latest From the Blogs >>
For Foundation Models, Precision Matters — But Stability Matters More
Detecting a Dataset Shift in PHI Data to Ensure De-Identification Model Per…
Robustness Testing of LLM Models Using LangTest in Databricks
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Kate Weber
(Senior Data Scientist at John Snow Labs)
February 26
02:00 P.M | ET
An LLM-enabled Medical Terminology Server
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NLP Use Cases and Challenges in 2021
by
Stepheni Hass
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The Challenges of Moving NLP Innovations from Research to Production
by
Stepheni Hass
Natural Language Processing (NLP) drives an imperative advantage behind the growth of emerging technologies, like text classification, chatbot communication, sentiment analysis, and speech recognition. Owing to an enhanced interest in...
Deep Learning for Legal NLP
by
Dominika Garczynska
Distributed Natural Language Processing Apps for Financial Engineering
by
Dominika Garczynska
The 2020 NLP Industry Survey Finds Increasing Enterprise Investment in Natural Language Processing, Despite Pandemic-Impacted IT Budgets
by
Gina Devine
New Research Sheds Light on NLP Adoption, Challenges, and Practices Across Healthcare, Financial Services, and...