Copertina

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Dongchen, Liang, Jitao, Li, Wei, Wang, Xiaoyu, Cao, Longbing, Yu, Kun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
di: Ma, Mingyu Derek, et al.
Pubblicazione: (2024)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
di: Oniani, David, et al.
Pubblicazione: (2024)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
di: Zhu, Yinghao, et al.
Pubblicazione: (2024)

Improving Clinical Decision Support through Interpretable Machine Learning and Error Handling in Electronic Health Records
di: Arora, Mehak, et al.
Pubblicazione: (2023)

CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
di: Ouyang, Zetian, et al.
Pubblicazione: (2024)

Joint Models in Big Data: Simulation-Based Guidelines for Required Data Quality in Longitudinal Electronic Health Records
di: Hunsdieck
Pubblicazione: (2025)

Inconsistencies in the Impact of Electronic Health Record‐Based Clinical Decision Support on Reducing Potentially Inappropriate Medications in Older Adults
di: Brijesh Sathian, et al.
Pubblicazione: (2025)

Subtype-Aware Registration of Longitudinal Electronic Health Records
di: Gai, Xin, et al.
Pubblicazione: (2025)

Reply: Inconsistencies in the Impact of Electronic Health Record‐Based Clinical Decision Support on Reducing Potentially Inappropriate Medications in Older Adults
di: Gina A. Elder, et al.
Pubblicazione: (2025)

CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records
di: Wang, Junke, et al.
Pubblicazione: (2025)

Rephrasing Electronic Health Records for Pretraining Clinical Language Models
di: Liu, Jinghui, et al.
Pubblicazione: (2024)

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
di: Bilal, Muhammad, et al.
Pubblicazione: (2024)

Humanoid Robots and Humanoid AI: Review, Perspectives and Directions
di: Cao, Longbing
Pubblicazione: (2024)

Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models
di: Li, Hanyu, et al.
Pubblicazione: (2025)

CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support
di: Deng, Ruiqi, et al.
Pubblicazione: (2026)

Large Language Models are Powerful Electronic Health Record Encoders
di: Hegselmann, Stefan, et al.
Pubblicazione: (2025)

Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
di: Saukkoriipi, Mikko, et al.
Pubblicazione: (2026)

Automated HIV Screening on Dutch Electronic Health Records with Large Language Models
di: Zhou, Lang, et al.
Pubblicazione: (2025)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records
di: Guevara, Marco, et al.
Pubblicazione: (2023)

CliMB: An AI-enabled Partner for Clinical Predictive Modeling
di: Saveliev, Evgeny, et al.
Pubblicazione: (2024)

Clinical Utility of Plasma Biomarkers of Alzheimer's Disease (CliPAD)
di: Juli Cehula, et al.
Pubblicazione: (2025)

Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis
di: Cenacchi, Filippo, et al.
Pubblicazione: (2025)

Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records
di: Pan, Jie, et al.
Pubblicazione: (2025)

BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records
di: Lyu, Weimin, et al.
Pubblicazione: (2024)

MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning
di: Shen, Yuhao, et al.
Pubblicazione: (2026)

On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
di: Lotspeich, Sarah C., et al.
Pubblicazione: (2025)

SimClinician: A Multimodal Simulation Testbed for Reliable Psychologist AI Collaboration in Mental Health Diagnosis
di: Cenacchi, Filippo, et al.
Pubblicazione: (2025)

$C^1$-robust homoclinic tangencies
di: Li, Dongchen
Pubblicazione: (2024)

Blender-producing mechanisms and a dichotomy for local dynamics for heterodimensional cycles
di: Li, Dongchen
Pubblicazione: (2024)

Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development
di: Xue Zhong, et al.
Pubblicazione: (2025)

Enhanced Electronic Health Records Text Summarization Using Large Language Models
di: Madzime, Ruvarashe, et al.
Pubblicazione: (2024)

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
di: Islam, K M Sajjadul, et al.
Pubblicazione: (2024)

Validation of Large Language Models to Identify Dementia Cases in Electronic Health Records
di: Richard Yang, et al.
Pubblicazione: (2024)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
di: Luo, Zhimeng, et al.
Pubblicazione: (2025)

Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records
di: Zehao Ye, et al.
Pubblicazione: (2025)

Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
di: Li, Xin, et al.
Pubblicazione: (2026)

Relationship Between Nurses' Decision‐Making Styles and Stage‐Specific Missed Care in Oncology: A Nursing Process Perspective
di: Dongchen Xu, et al.
Pubblicazione: (2026)

Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease
di: Ballyk, Benjamin D., et al.
Pubblicazione: (2025)

EveryQuery: Zero-Shot Clinical Prediction via Task-Conditioned Pretraining over Electronic Health Records
di: Chandak, Payal, et al.
Pubblicazione: (2026)

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
di: Hashtarkhani, Soheil, et al.
Pubblicazione: (2025)