Entry-level guide to the use of large language models for medical research
Fuente:
arXiv
Saved in:
| Main Authors: | Jin, Qiao, Wan, Nicholas, Leaman, Robert, Tian, Shubo, Wang, Zhizheng, Yang, Yifan, Wang, Zifeng, Xiong, Guangzhi, Lai, Po-Ting, Zhu, Qingqing, Hou, Benjamin, Sarfo-Gyamfi, Maame, Zhang, Gongbo, Gilson, Aidan, Bhasuran, Balu, He, Zhe, Zhang, Aidong, Sun, Jimeng, Weng, Chunhua, Summers, Ronald M., Chen, Qingyu, Peng, Yifan, Lu, Zhiyong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026)
by: Zhang, Gongbo, et al.
Published: (2026)
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography
by: Zhu, Qingqing, et al.
Published: (2026)
by: Zhu, Qingqing, et al.
Published: (2026)
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)
by: Khandekar, Nikhil, et al.
Published: (2024)
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition
by: Chen, Fangyi, et al.
Published: (2024)
by: Chen, Fangyi, et al.
Published: (2024)
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
A Span-based Model for Extracting Overlapping PICO Entities from RCT Publications
by: Zhang, Gongbo, et al.
Published: (2024)
by: Zhang, Gongbo, et al.
Published: (2024)
Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review
by: Xu, Zihan, et al.
Published: (2025)
by: Xu, Zihan, et al.
Published: (2025)
PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge
by: Wei, Chih-Hsuan, et al.
Published: (2024)
by: Wei, Chih-Hsuan, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Generation for Medicine
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining
by: Bhasuran, Balu, et al.
Published: (2023)
by: Bhasuran, Balu, et al.
Published: (2023)
Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
by: Bhasuran, Balu, et al.
Published: (2025)
by: Bhasuran, Balu, et al.
Published: (2025)
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
by: Jin, Qiao, et al.
Published: (2026)
by: Jin, Qiao, et al.
Published: (2026)
Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
by: Wan, Nicholas, et al.
Published: (2024)
by: Wan, Nicholas, et al.
Published: (2024)
Enhancing Biomedical Relation Extraction with Directionality
by: Lai, Po-Ting, et al.
Published: (2025)
by: Lai, Po-Ting, et al.
Published: (2025)
Knowledge-guided Contextual Gene Set Analysis Using Large Language Models
by: Wang, Zhizheng, et al.
Published: (2025)
by: Wang, Zhizheng, et al.
Published: (2025)
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study
by: He, Zhe, et al.
Published: (2024)
by: He, Zhe, et al.
Published: (2024)
EvidenceOutcomes: a Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes
by: Zhou, Yiliang, et al.
Published: (2025)
by: Zhou, Yiliang, et al.
Published: (2025)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Structural Causality-based Generalizable Concept Discovery Models
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
A Self-explaining Neural Architecture for Generalizable Concept Learning
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
by: Wang, Zhizheng, et al.
Published: (2025)
by: Wang, Zhizheng, et al.
Published: (2025)
MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering
by: Islamaj, Rezarta, et al.
Published: (2026)
by: Islamaj, Rezarta, et al.
Published: (2026)
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Scalable Scientific Interest Profiling Using Large Language Models
by: Liang, Yilun, et al.
Published: (2025)
by: Liang, Yilun, et al.
Published: (2025)
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models
by: Zhang, Gongbo, et al.
Published: (2024)
by: Zhang, Gongbo, et al.
Published: (2024)
DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)
by: Wang, Zifeng, et al.
Published: (2025)
CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support
by: Deng, Ruiqi, et al.
Published: (2026)
by: Deng, Ruiqi, et al.
Published: (2026)
GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases
by: Wang, Zhizheng, et al.
Published: (2024)
by: Wang, Zhizheng, et al.
Published: (2024)
A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma
by: George, Ajo Babu, et al.
Published: (2026)
by: George, Ajo Babu, et al.
Published: (2026)
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
by: Jin, Qiao, et al.
Published: (2023)
by: Jin, Qiao, et al.
Published: (2023)
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
by: He, Zhenghao, et al.
Published: (2025)
by: He, Zhenghao, et al.
Published: (2025)
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
Retrieving Counterfactuals Improves Visual In-Context Learning
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders
by: Chen, Hongzhuo, et al.
Published: (2026)
by: Chen, Hongzhuo, et al.
Published: (2026)
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning
by: Jin, Qiao, et al.
Published: (2024)
by: Jin, Qiao, et al.
Published: (2024)
Similar Items
-
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026) -
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography
by: Zhu, Qingqing, et al.
Published: (2026) -
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024) -
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition
by: Chen, Fangyi, et al.
Published: (2024) -
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)