Watch Healthcare NLP Summit 2024
Day 1
Benchmarks of
the Healthcare
GPT Model
Generative AI for Drug Discovery
AMIE: A Research AI system for Diagnostic Medical Reasoning and Conversations
Empowering Healthcare through NLP: Harnessing Clinical Document Insights at Intermountain Health
Developing Guidelines for Responsible Generative AI in Healthcare
How Care-Connect and Spryfox use NLP in Making Patient-Level Decisions
Intel’s fastRAG for Medical Use-cases
Optimization of Electronic Health Records: LLM for Clinical Coding and Exploitation
RAG on FHIR: Using FHIR with Generative AI to Make Healthcare Less Opaque
NLP Capability Implementation Lessons Learned- From Tech to Change Movement for Effective Adoption
Measuring Hallucinations in Healthcare RAG
Voice of the Customer: NLP in a Health Plan Call Center
How I Built a Super-Doctor Using Advanced RAG
Large Language Models for Biomedical Knowledge Graph Construction: Information Extraction from EMR Notes
Large Language Models to Facilitate Building of Cancer Data Registries
Clustering Patients Complaints
Development of a Method for Hospice Quality Assessment
Day 2
Answering Patient Level Questions from Raw Clinical Data
Advancing Health at the Speed of AI
Using LLMs to Build Task-Specific AI Models with the No-Code Generative AI Lab
Navigating the Ethical Frontier: Unraveling the Significance and Challenges of Responsible AI Data Synthesis
Transforming Care in Psychiatry: Leveraging NLP to Optimize Inpatient Violence and Delirium Screening in Acute Care Settings
Towards Concept-Aware Large Language Models
Patient Journey Trajectories for Disease Progression Prediction and Sub Typing using LLMs
Designing a Healthcare LLM for Efficient Medical Documentation
Integrating Multimodal RAG and Human-in-the-Loop for Scalable Healthcare IT Applications: From Analytics to Dx Coding
Using Large Language Models as Clinical Decision Support Tools in a Large Urgent Care Practice in Nairobi, Kenya
Enhancing Antimicrobial Stewardship in LMICs Through AI-Driven Tools: Focusing on Conversational Agents and RAG Architecture
Generative Terminology Mapping of Source Medication Terms to RxNorm: Using LLMs as Clinical Expert Reviewer
Scaling GenAI for the Enterprise
Enabling Physicians to Build Custom Conversational AI Agents for Cohesive Understanding of Medical Knowledge to Support Data-Driven Healthcare Decision-Making
“Be Like Water” – NLP and GenAI Opportunities and Challenges in Healthcare
From Data to Enrollment: The Impact of Large Language Models in Clinical Recruitment
Back to the future: 1854, London – John Snow Fighting Cholera with GenAI – The Impact of AI on Tomorrow’s Epidemiology
AI and NLP Carving a Future to Save Healthcare
Improved Medical Classification Using Semantic Analysis and Data Augumentation