Cover Image

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kruse, Maya, Hu, Shiyue, Derby, Nicholas, Wu, Yifu, Stonbraker, Samantha, Yao, Bingsheng, Wang, Dakuo, Goldberg, Elizabeth, Gao, Yanjun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
by: Fu, Shihan, et al.
Published: (2025)

Race, Ethnicity and Their Implication on Bias in Large Language Models
by: Hu, Shiyue, et al.
Published: (2026)

Bridging Knowledge Gaps in Clinical AI: An Activity Theory Perspective on Interdisciplinary Data Work for Telehealth
by: Yao, Bingsheng, et al.
Published: (2024)

Secret Use of Large Language Model (LLM)
by: Zhang, Zhiping, et al.
Published: (2024)

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
by: Yin, Changchang, et al.
Published: (2024)

Human-Centered Privacy Research in the Age of Large Language Models
by: Li, Tianshi, et al.
Published: (2024)

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
by: Cheng, He, et al.
Published: (2026)

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
by: Xu, Xuhai, et al.
Published: (2023)

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
by: Yin, Changchang, et al.
Published: (2024)

Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model
by: Yang, Ziqi, et al.
Published: (2023)

DPRF: A Generalizable Dynamic Persona Refinement Framework for Optimizing Behavior Alignment Between Personalized LLM Role-Playing Agents and Humans
by: Yao, Bingsheng, et al.
Published: (2025)

Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Judgment Under Uncertainty
by: Zou, Ruishi, et al.
Published: (2024)

Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
by: Xu, Borui, et al.
Published: (2025)

User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants
by: Mahmood, Amama, et al.
Published: (2023)

"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication
by: Yang, Ziqi, et al.
Published: (2024)

Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents
by: Chen, Chaoran, et al.
Published: (2025)

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review
by: Croxford, Emma, et al.
Published: (2024)

Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity
by: Wu, Siyi, et al.
Published: (2024)

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
by: Kruse, Maya, et al.
Published: (2025)

Language Models for Longitudinal Clinical Prediction
by: Songdechakraiwut, Tananun, et al.
Published: (2025)

Aggressive Post-Training Compression on Extremely Large Language Models
by: Zhang, Zining, et al.
Published: (2024)

Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
by: Yao, Bingsheng, et al.
Published: (2025)

Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors
by: Chan, Szeyi, et al.
Published: (2024)

Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
by: Pisano, Matthew, et al.
Published: (2023)

"I Like Sunnie More Than I Expected!": Exploring User Expectation and Perception of an Anthropomorphic LLM-based Conversational Agent for Well-Being Support
by: Wu, Siyi, et al.
Published: (2024)

From Human-Human Collaboration to Human-Agent Collaboration: A Vision, Design Philosophy, and an Empirical Framework for Achieving Successful Partnerships Between Humans and LLM Agents
by: Yao, Bingsheng, et al.
Published: (2026)

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
by: Gao, Yifu, et al.
Published: (2024)

JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)

Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM
by: Li, Jiachen, et al.
Published: (2024)

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
by: Chan, Szeyi, et al.
Published: (2023)

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
by: Yang, Ziqi, et al.
Published: (2025)

Development and Validation of the Provider Documentation Summarization Quality Instrument for Large Language Models
by: Croxford, Emma, et al.
Published: (2025)

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

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering
by: Tie, Jiessie, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
by: Myers, Skatje, et al.
Published: (2025)

3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
by: Hu, Wenbo, et al.
Published: (2025)

Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)

Can Large Language Models Serve as Evaluators for Code Summarization?
by: Wu, Yang, et al.
Published: (2024)

Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China
by: Sun, Yuling, et al.
Published: (2024)