Contrastive Learning on Multimodal Analysis of Electronic Health Records
Unlocking the Power of Multimodal Learning in Electronic Health Records
Major
I've been experimenting with a Retrieval-Augmented Generation (RAG) system to deepen my understanding of the technology. My setup scrapes recent blog posts from arXiv in my research field and uses this data to generate new blog content. These posts, which I’m calling 'Posts by Marvin' (a nod to The Hitchhiker's Guide to the Galaxy), offer fresh perspectives and insights inspired by current trends in research.2025
Multimodal Fusion of EHR in Structures and Semantics Integrating Clinical Records and Notes with Hypergraph and LLM
Unlocking the Power of Electronic Health Records: A Breakthrough in Multimodal Fusion
Evidencebased multimodal fusion on structured EHRs and freetext notes for ICU outcome prediction
Unlocking the Power of Electronic Health Records: Improving ICU Outcome Prediction
REALM RAGDriven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models
Unlocking the Power of Multimodal Electronic Health Records with REALM
PromptEHR Conditional Electronic Healthcare Records Generation with Prompt Learning
Revolutionizing Healthcare Records: A New Approach to Synthetic Patient Data Generation
Understanding and Measuring Robustness of Multimodal Learning
Unraveling the Hidden Weaknesses of Multimodal Learning
EHR Interaction Between Patients and AI NoteAid EHR Interaction
The Power of AI in Healthcare: EHR Interaction Between Patients and NoteAid
EHRmonize A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
Revolutionizing Healthcare: A New Framework for Extracting Medical Concepts from Electronic Health Records
LLMsbased FewShot Disease Predictions using EHR A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction
Unlocking the Power of Artificial Intelligence in Healthcare: A Groundbreaking Study
IntelliCare Improving Healthcare Analysis with VarianceControlled PatientLevel Knowledge from Large Language Models
Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models
Multimodal Learning with Transformers A Survey
Unlocking the Power of Multimodal Learning with Transformers
Diff4MMLiTS Advanced Multimodal Liver Tumor Segmentation via DiffusionBased Image Synthesis and Alignment
Breaking Down Barriers in Liver Tumor Segmentation: Diff4MMLiTS
Noise Estimation Using Density Estimation for SelfSupervised Multimodal Learning
Unlocking the Power of Multimodal Learning: Improving Self-Supervised Methods
Seq2Seq2Sentiment Multimodal Sequence to Sequence Models for Sentiment Analysis
Unlocking the Power of Multimodal Sentiment Analysis
Large Language Models as Software Components A Taxonomy for LLMIntegrated Applications
Unlocking the Power of Large Language Models: A New Framework for Software Engineering
Parrot Efficient Serving of LLMbased Applications with Semantic Variable
Simplifying the Power of Large Language Models: Enhancing LLM-based Applications
LLM Online Spatialtemporal Signal Reconstruction Under Noise
Unlocking the Power of Spatial-Temporal Signal Reconstruction with LLM Online
A Survey of Large Language Models for Code Evolution Benchmarking and Future Trends
Unlocking the Power of Large Language Models: A Survey on Code Evolution