Medical Knowledge Representation and Management
Studies on how LLMs can manage, organize, and utilize medical knowledge bases and ontologies
Medical Knowledge Representation and Management
Research on Large Language Models in Medical Knowledge Representation and Management
Healthcare Knowledge Graphs: Transforming Medical Data
Harnessing structured knowledge for improved clinical decisions and research
Boosting Medical AI with Textbook Knowledge
Enhancing LLMs for biomedical expertise through authoritative references
LLMs as Ontology Knowledge Banks
Evaluating how well language models recall structured biological knowledge
LLMs as Molecular Translators
Bridging Molecules and Language Without Specialized Training
Enhancing Metadata Quality with AI
GPT-4 + Knowledge Bases Improve Scientific Data Standards
When LLMs Clash: Evidence vs. Internal Knowledge
Measuring how models balance retrieved information against their pretrained knowledge
Predicting Adverse Drug Events in Clinical Trials
New benchmark dataset enables better drug safety prediction
Automating Systematic Reviews with AI
GPT-4's potential for extracting medical research data
AI-Powered Clinical Trial Intelligence
A breakthrough benchmark for accelerating drug development
Speculative RAG: The Future of Knowledge-Enhanced AI
Accelerating and improving LLM responses with efficient knowledge retrieval
LOTUS: Semantic Operators for AI-Powered Data Analysis
A declarative framework for robust LLM-based data processing
StructTuning: Smarter Domain Specialization for LLMs
Achieving 100% knowledge injection with just 5% of the training data
Mining the Diet-Microbiome Connection
NLP-driven discovery of how food impacts gut health
KGARevision: AI-Powered Medical Reasoning
Knowledge Graph Agents for Complex Biomedical Question Answering
Improving Scientific Question-Answering with LLM-Powered SPARQL
Bridging natural language and federated knowledge graphs for accurate bioinformatics queries
Unlocking Alzheimer's Insights with AI
Using LLMs to Map Social Determinants of Health in Alzheimer's Research
Biomedical Reasoning in LLMs
Evaluating AI models on specialized syllogistic reasoning tasks
Enhancing LLMs for Long-Tail Knowledge
Dynamic Uncertainty Ranking for Specialized Domain Questions
Transforming Graphs for Universal Learning
LLMs as converters for cross-domain graph analysis
Enhancing Medical LLMs with Smart Knowledge Retrieval
A context-aware approach to reduce hallucinations in healthcare AI
Reimagining Library Metadata with AI
How Generative AI is transforming academic information architecture
MedCT: Revolutionizing Chinese Healthcare with AI
First comprehensive clinical terminology system for Chinese medical data
Revolutionizing Medical Ontology Matching
How Large Language Models Improve Data Interoperability in Healthcare
Overcoming Catastrophic Forgetting in LLMs
A Novel Hierarchical Regularization Approach
Advancing RAG: Multi-Level Knowledge Integration
Enhancing LLM responses with hierarchical knowledge retrieval
Enhancing Domain Expertise in LLMs
Using LoRA for Deeper Insight Learning in Medicine and Finance
Bridging Language Gaps in AI Systems
Self-aligning LLMs for consistent multilingual knowledge sharing
Enhancing Medical AI with ICFT
Cross-domain learning for more capable medical language models
MedBioLM: Advancing Specialized AI for Healthcare
Enhancing medical and biological question answering through domain adaptation
Precision Health Information Retrieval
Combating Medical Misinformation with RAG Technology
OntoTune: Organizing LLM Knowledge Like Human Minds
Using ontologies to structure domain knowledge in large language models
AI-Powered Knowledge Graph Enrichment
Automating knowledge extraction with multi-agent LLMs
Enhancing TCM Knowledge Retrieval with LLMs
A Novel Tree-Organized Self-Reflective Approach for Medical Q&A
Enhancing Knowledge Retrieval with Graph-RAG
A cost-efficient multi-granular approach for complex domains
Evidence-Based Scientific Claim Verification
A breakthrough approach for validating complex scientific information
Enhancing LLMs for Specialized Domains
Injecting domain-specific knowledge for better performance in healthcare and beyond
Enhancing Medical Chatbots with Knowledge Graphs
Combining structured biomedical knowledge with LLMs for reliable healthcare information
LLM Agents that Build Their Own Tools
Enabling AI to create specialized tools for complex domains automatically
Specialized AI for Medicine
Developing Domain-Specific LLMs for Healthcare Applications
Bridging the Medical Knowledge Gap
Automating Knowledge Graphs for Better Medical Question-Answering
SearchRAG: Enhancing Medical AI with Dynamic Knowledge
Leveraging search engines to improve LLM-based medical Q&A
Brain-LLM Connections Through Explainable AI
Using LLM explanations to predict brain activity during language processing
Advancing Biomedical Code Mapping with AI
Combining Ontology Knowledge Graphs with LLMs for Better Results
Neural Networks Meet Brain Networks
Applying Neuroscience Methods to Understand LLMs
Enhancing Medical AI with Clinical Knowledge
How LLMs are transforming healthcare applications
Verifying Medical Claims with AI
Explainable LLMs for Evidence-Based Healthcare
Biomedical Foundation Models: The Next Frontier
How large-scale AI models are transforming healthcare and medical research
KidneyTalk-open: Private AI for Nephrology
Local LLM deployment with enhanced medical knowledge for kidney disease
Speeding Up RAG Systems with Smart Caching
Using query similarity to dramatically reduce retrieval time
SKG-LLM: Advancing Stroke Research with AI
Using Large Language Models to Build Medical Knowledge Graphs
AI-Powered Brain Science Knowledge Expansion
Using LLMs to Automatically Grow Cognitive Neuroscience Knowledge Graphs
AI Meets Oncology: Specialized Language Models
Developing cross-lingual LLMs for precise cancer data interpretation
Reducing AI Hallucinations with RAG-KG-IL
A Multi-Agent Framework Combining RAG and Knowledge Graphs
Accelerating Medical Research with AI
Using LLMs to integrate preprints into systematic reviews
Self-Adaptive Continual Learning for LLMs
Automating knowledge selection and retention in domain-specific contexts
Knowledge Hypergraphs for Medical Decision Support
Enhancing LLMs with structured evidence for evidence-based medicine
AI-Powered Patient Journey Mapping
Using LLMs to Transform Clinical Notes into Knowledge Graphs
SciClaims: Automating Scientific Truth Detection
AI-Powered Biomedical Claim Validation
Expert Reviews vs. Research Impact
Analyzing the alignment between post-publication evaluations and research metrics
LLMs for Medical Knowledge Completion
Evaluating how large language models can fill gaps in medical knowledge graphs
TheBlueScrubs: Expanding the Medical Knowledge Base
A 25B token dataset powering next-generation clinical LLMs
AD-GPT: AI Advancing Alzheimer's Research
A specialized LLM for Alzheimer's disease knowledge retrieval
Do "New Snow Tablets" Contain Snow? Large Language Models Ov...
By Sifan Li, Yujun Cai...
Revolutionizing Medical Research with AI
How LLMs are Transforming Systematic Review Processes
Mining Drug Side Effects from Social Media
Using LLMs to Build Knowledge Graphs for Pharmacovigilance
Explainable Medical AI: The Gyan Approach
A more transparent alternative to black-box medical LLMs
LLMs as Scientific Discovery Partners
Leveraging AI to Generate Research Hypotheses in Biology
KEDiT: Making LLMs Better at Dialogue with Knowledge
Efficient fine-tuning for knowledge-grounded conversations in specialized domains
Tracking Topics Through Time
Advanced Analysis of Academic Journal Evolution Using Convex Optimization
LLM-Powered Literature Review Agents
Enhancing scientific discovery with patient, agentic systems
AI Uncovers the Lyme Disease Debate Divide
First large-scale analysis of 25 years of scientific controversy using LLMs
Editing LLMs for Specialized Medical Knowledge
First comprehensive study on long-tail biomedical knowledge editing
Enhancing Japanese Medical QA with Knowledge Graphs
Overcoming language limitations with KG-based RAG for small LLMs
HypoBench: Revolutionizing Hypothesis Generation with AI
A systematic framework for evaluating LLM-generated scientific hypotheses
AI-Powered Biomedical Research Assistant
Leveraging Specialized LLMs for Enhanced Scientific Discovery
