Imagen de Portada

Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhu, Yinghao, Sui, Dehao, Wang, Zixiang, Hu, Xuning, Gu, Lei, Qi, Yifan, Wu, Tianchen, Wang, Ling, Wei, Yuan, Tang, Wen, Cui, Zhihan, Wang, Yasha, Yu, Lequan, Harrison, Ewen M, Gao, Junyi, Ma, Liantao
Formato:	Preprint
Publicado:	2026
Materias:	Human-Computer Interaction Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
por: Wang, Zixiang, et al.
Publicado: (2024)

Auditing medical multi-agent AI reveals risks of false consensus
por: Zhu, Yinghao, et al.
Publicado: (2025)

ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis
por: Zhao, Huiya, et al.
Publicado: (2025)

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
por: Gao, Junyi, et al.
Publicado: (2022)

ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
por: Zhu, Yinghao, et al.
Publicado: (2024)

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
por: Zhu, Yinghao, et al.
Publicado: (2025)

Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
por: Liao, Weibin, et al.
Publicado: (2025)

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

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
por: Zhu, Yinghao, et al.
Publicado: (2025)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
por: Liao, Weibin, et al.
Publicado: (2024)

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
por: Wang, Tianlong, et al.
Publicado: (2024)

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
por: Liao, Weibin, et al.
Publicado: (2024)

Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
por: Zhang, Zhongji, et al.
Publicado: (2023)

PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations
por: Zhu, Yinghao, et al.
Publicado: (2023)

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
por: Yu, Zhihao, et al.
Publicado: (2024)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
por: Zhu, Yinghao, et al.
Publicado: (2024)

Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions
por: Wang, Yifan
Publicado: (2026)

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
por: Cai, Tianhui, et al.
Publicado: (2024)

Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs
por: Wu, Junyi, et al.
Publicado: (2026)

Thematic Analysis of Clinician Documentation Surrounding Treatment Discussions and Decision‐Making in Patients With Desmoid Tumors
por: Victoria Wytiaz, et al.
Publicado: (2025)

ExperienceWeaver: Optimizing Small-sample Experience Learning for LLM-based Clinical Text Improvement
por: Xiao, Ziyan, et al.
Publicado: (2026)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
por: Fang, Yue, et al.
Publicado: (2025)

Responsible Retrieval Augmented Generation for Climate Decision Making from Documents
por: Juhasz, Matyas, et al.
Publicado: (2024)

ReCopilot: Reverse Engineering Copilot in Binary Analysis
por: Chen, Guoqiang, et al.
Publicado: (2025)

BMC Nephrology
Publicado: (2003)

Frontiers in Nephrology
Publicado: (2022)

"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
por: Wang, Hong, et al.
Publicado: (2025)

Calibration Error for Decision Making
por: Hu, Lunjia, et al.
Publicado: (2024)

African Journal of Nephrology
Publicado: (2019)

Journal of Pediatric Nephrology
Publicado: (2015)

Brazilian Journal of Nephrology
Publicado: (2010)

Turkish Journal of Nephrology
Publicado: (2022)

International Journal of Nephrology
Publicado: (2010)

Case Reports in Nephrology
Publicado: (2011)

A User-centered Security Evaluation of Copilot
por: Asare, Owura, et al.
Publicado: (2023)

XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model
por: Wang, Zhitao, et al.
Publicado: (2024)

PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
por: Feng, Yushi, et al.
Publicado: (2025)

Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
por: Wang, Yuchen, et al.
Publicado: (2024)

Integrated Soil Salinisation Management Strategies in Agriculture
por: Yingying Xing, et al.
Publicado: (2026)

EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation
por: Chen, Hongyu, et al.
Publicado: (2024)