Clustering Patients Complaints

Turnkey Deployment of Medical Language Models as Private API Endpoints

Automated Testing of Bias, Fairness, and Robustness of Language Models in the Generative AI Lab

Medical Chatbot - Introducing the "Web Search" Tool

New State-of-the-art Accuracy for the 3 Primary Uses of Healthcare Language Models

Voice of the Customer: NLP in a Health Plan Call Center

How Care-Connect and Spryfox use NLP in Making Patient-level Decisions

Empowering Healthcare through NLP: Harnessing Clinical Document Insights at Intermountain Health

RAG on FHIR: Using FHIR with Generative AI to Make Healthcare Less Opaque

AMIE: A Research AI System for Diagnostic Medical Reasoning and Conversations

Benchmarks of the Healthcare GPT Model

Large Language Models to Facilitate Building of Cancer Data Registries

NLP Capability Implementation Lessons Learned- From Tech to Change Movement for Effective Adoption

Development of a Method for Hospice Quality Assessment

Navigating the Ethical Frontier: Unraveling the Significance and Challenges of Responsible AI Data

How I Built a Super-Doctor Using Advanced RAG

Intel’s fastRAG for Medical Use-cases

Optimization of Electronic Health Records: LLM for Clinical Coding and Exploitation

Clustering Patients Complaints

Leveraging NLP to optimize Inpatient Violence and Delirium Screening in Acute Care Settings

LLM for Biomedical Knowledge Graph Construction: Information Extraction from EMR Notes

Measuring Hallucinations in Healthcare RAG

Using LLMs to Build Task-Specific AI Models with the No-Code Generative AI Lab

Advancing Health at the Speed of AI

Integrating Multimodal RAG and Human-in-the-Loop for Scalable Healthcare IT Applications