Advancing the State of the Art in Applied Natural Language Processing | Healthcare NLP Summit 2021

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