NExT-GPT: Any-to-Any Multimodal LLMIn this article, we will discuss NExT-GPT, the first any-to-any multimodal LLM.Mar 5Mar 5
Medical Graph Knowledge Representation ProbingIn this article, we will discuss the recent MedG-KRP paper by Rosenbaum et al., 2024.Feb 12Feb 12
Text-based clinical outcome predictionsElectronic health records are an important data resource that contains a wealth of patient information, such as images, vitals, and text…Feb 6Feb 6
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive ModelingThe EMERGE paper, published in May 2024, introduces a new framework based on RAG and multimodal EHR data for mortality and readmission…Jan 20Jan 20
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalThis paper introduces KARE (Knowledge Aware Reasoning-Enhanced Healthcare Prediction), which uses LLMs and Graph-RAG for better clinical…Jan 14Jan 14
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge GraphsThe paper “GraphCare” introduces a new framework for creating personalized patient knowledge graphs for clinical predictions. Let’s go…Jan 13Jan 13
Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksThe paper “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks” from 2020 introduces the retrieval augmented generation…Dec 2, 2024Dec 2, 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health RecordsThe paper “RAM-EHR” introduces a new model based on retrieval augmented generation and deep learning for clinical predictions. Let’s go…Nov 22, 2024Nov 22, 2024
BioLORD: Contrastive learning for biomedical conceptsThe paper “BioLORD: Learning Ontological Representations from Definitions (for Biomedical Concepts and their Textual Descriptions)”…Nov 18, 2024Nov 18, 2024
