Med-KGMA: A novel AI-driven medical support system leveraging knowledge graphs and medical advisors

Language Models are Few-Shot Learners

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MIMIC-III, a freely accessible critical care database

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Adaptive Mixtures of Local Experts

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Large language models encode clinical knowledge

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Knowledge Graph Embedding by Translating on Hyperplanes

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SciBERT: A Pretrained Language Model for Scientific Text

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Revolutionizing healthcare: the role of artificial intelligence in clinical practice

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Knowledge Graphs

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Embedding Entities and Relations for Learning and Inference in Knowledge Bases

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How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

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Artificial intelligence in healthcare: transforming the practice of medicine

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Toward expert-level medical question answering with large language models

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DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

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Evaluating Large Language Models Trained on Code

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RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

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BioGPT: generative pre-trained transformer for biomedical text generation and mining

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A clinically applicable approach to continuous prediction of future acute kidney injury

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What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

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PubMedQA: A Dataset for Biomedical Research Question Answering

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Artificial Intelligence in Health Care: A Report From the National Academy of Medicine

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A Review of Explainable Artificial Intelligence in Healthcare

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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Health system-scale language models are all-purpose prediction engines

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Almanac — Retrieval-Augmented Language Models for Clinical Medicine

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Challenges to healthcare in India - The five A's

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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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Artificial Intelligence in Medical Diagnosis

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TorusE: Knowledge Graph Embedding on a Lie Group

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Issues of Unequal Access to Public Health in India

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Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science

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Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study

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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

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Evaluation of the performance of GPT-3.5 and GPT-4 on the Polish Medical Final Examination

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Gemma 2: Improving Open Language Models at a Practical Size

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Biomedical knowledge graph-optimized prompt generation for large language models

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BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

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Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented GenerationPreprint

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Augmented non-hallucinating large language models as medical information curators

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A medical question answering system using large language models and knowledge graphs

Guo, Q., Cao, S., & Zhang, Y. (2022) · International Journal of Intelligent Systems · doi:10.1002/int.22955 · Cited by 65 · see citing works

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

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A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases

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GPT-3 Models are Poor Few-Shot Learners in the Biomedical DomainPreprint

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A Case of Artificial Intelligence Chatbot Hallucination

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Exploring the Latest Applications of OpenAI and ChatGPT: An In-Depth Survey

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Electromagnetic radiation control for nonlinear dynamics of Hopfield neural networks

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Generalization and differentiation of affective associative memory circuit based on memristive neural network with emotion transfer

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A Hindmarsh–Rose neuron model with electromagnetic radiation control for the mechanical optimization design

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Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsPreprint

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Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!Preprint

Allemang, D., & Sequeda, J. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2405.11706 · Cited by 21 · see citing works

Early Detection of Health Problems through Artificial Intelligence (Ai) Technology in Hospital Information Management: A Literature Review Study

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Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications

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Development of a ChatBot model for health telecare: Integration of LangChain, embeddings with OpenAI, and Pinecone using the question answering technique

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Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE

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Graphusion: A RAG Framework for Knowledge Graph Construction with a Global PerspectivePreprint

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MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge DevicesPreprint

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Building a Medical Q&A System Based on Deep Learning and Knowledge Graphs

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Multi-Agent Retrieval Augmented Generation for Clinical Decision Support: A Systematic Review and Integrative Conceptual Framework

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An Assisted Medical Diagnosis Question Answering System Based on Knowledge Graphs

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Research on Automatic Question Answering Systems Based on Medical Knowledge Graphs

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BGKnow-Medical Chatbot: A Hybrid Approach Based on Knowledge Graph and GPT-2

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AI-Powered Knowledge Graphs for Efficient Medical Information Retrieval and Decision Support

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KGARevion: An AI Agent for Knowledge-Intensive Biomedical QAPreprint

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