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38 papers in the last four weeks, up 41% on the four weeks before. 0.3% of all new papers.

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Removing Temporal Note Redundancy Improves Multimodal Reinforcement Learning for Medicine
Aug 14, 2026Chenran Weng, Joo Seung Lee, Malini Mahendra +1Reinforcement Learning Representation Learning for RL
University of California, Berkeley Berkeley, CA, USA · University of California, San Francisco San Francisco, CA, USA
Foundation models for movement data: Are they ready for prime-time?
Aug 13, 2026Alexander Bräuer, Benjamin Cauchi, Nils StrodthoffHuman Activity Recognition Healthcare
Carl von Ossietzky Universität Oldenburg, Oldenburg, Lower Saxony, 26129, Germany
A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings
Aug 13, 2026Hei Ting, Chan, Chenwei Wu +8Efficient Multimodal Inference Healthcare
Una · University of Michigan, Ann Arbor, MI, USA · Massachusetts Institute of Technology, Cambridge, MA, USA +1
How Compliant is Sepsis Treatment? An Expert-Guided Neuro-symbolic Pipeline for Generating Clinical Compliance Insights
Aug 12, 2026Himanshu Tripathi, Kaushik Roy, Subash Neupane +1Healthcare Clinical Decision Support
Department of Computer Science, The University of Alabama
Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment
Aug 12, 2026Lara Pereira, João Ruivo Paulo, Pedro Santos +1Skeleton-Based Action Recognition Healthcare
Institute of Systems and Robotics · Department of Electrical and Computer Engineering, University of Coimbra, Portugal
Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
Aug 11, 2026Patrick Vossler, Jialin Ouyang, F. Richard Guo +5Causal Effect Estimation Structural Causal Models
University of California, San Francisco · University of Michigan, Ann Arbor · University of Washington, Seattle
DoseBridge: Denoising Diffusion Bridge Model for Dose Prediction in Lung Intensity-Modulated Proton Therapy
Aug 10, 2026Zerun Zhang, Xiaoda Cong, Xiangkun Xu +2Healthcare Medical Image Synthesis
Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA
Coupled Graph--Policy Distillation for Personalized Medication Safety in Older Adults with Multimorbidity
Aug 10, 2026Zihan Wang, Anglin Liu, Rongyi Wang +6Multi-Agent LLM Systems Healthcare
1Artificial Intelligence Thrust, The Hong Kong University of Science and Technology (Guangzhou) · Faculty of Engineering, University of New South Wales · 3Medical Big Data Center, Guangdong Provincial People’s Hospital, Southern Medical University +2
FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health
Aug 8, 2026Yifan Wang, Chenzhong LiHealthcare Wearable Health Monitoring
The Chinese University of Hong Kong, Shenzhen
From Single Chatbots to Governed Agent Ecosystems: An Agentic AI Pattern Catalogue and Orchestration Framework for Mission-Critical Hospital Information Management Systems
Aug 7, 2026Manideep Dhar, Ritwik Singh, Sharat Chandra Kumar ManikondaHealthcare LLM Agent Orchestration
Chief Operating Officer and Head of Research and Development, Instil-it, Hyderabad, Telangana. · Chief AI Architect Engineer, Instil-it, Hyderabad, Telangana · Chief Executive Officer, Managing Director and Chief Data Scientist, Instil-it, Hyderabad, Telangana
From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems
Aug 6, 2026Manideep Dhar, Ritwik Singh, Sharat Chandra Kumar ManikondaMulti-Agent Orchestration Healthcare
Chief Operating Officer and Head of Research and Development, Instil-IT, Hyderabad, Telangana. · Chief Artificial Intelligence Architect Engineer, Instil-IT, Hyderabad, Telangana. · Chief Executive Officer, Managing Director and Chief Data Scientist, Instil-IT, Hyderabad, Telangana.
FormBharo: Designing and Evaluating a Voice Agent for Conversational Form Filling in Rural India
Aug 6, 2026Aman Dalmia, Sanskriti Midha, Jigar DoshiVoice Agent Evaluation Healthcare
Artpark, Indian Institute of Science, Bengaluru, Karnataka, India
Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination
Aug 5, 2026Truong Thanh Hung Nguyen, Hoang-Loc Cao, Phuc Ho +3Multi-Agent LLM Systems Healthcare
Analytics Everywhere Lab, University of New Brunswick, Canada · National Research Council Canada, Canada
RESPClinBench: Benchmarking Multimodal Clinical Decision-Making and Longitudinal Disease Management in Respiratory Specialty Care
Aug 5, 2026Mouxiao Bian, Zhi Chen, Ruiyao Chen +8LLM Safety Benchmarks Healthcare
Shanghai Artificial Intelligence Laboratory, Shanhai, China · Macau University of Science and Technology, Macau, China · First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China +1
Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds
Aug 4, 2026Jonas Leo Mueller, Markus Gambietz, Alexander Weiss +2Healthcare Point Cloud Learning
Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Chair of AI-supported Therapy Decisions, Ludwig-Maximilians-Universität München, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +2
TumorBoard: Evidence-Grounded Multi-Agent Decision Support for Longitudinal Neuro-Oncology
Aug 4, 2026Yantong Liu, Zheyu Zhang, Runpeng Liu +3Multi-Agent Coordination Healthcare
Department of Computer Information Engineering, Kunsan National University, Gunsan 54150, Republic of Korea · School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning
Aug 4, 2026Zhitian Hou, Yuhang Liu, Pengkai Wang +8Counterfactual Evaluation Healthcare
The Hong Kong Polytechnic University · Sun Yat-sen University
Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants
Aug 4, 2026Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov +2Healthcare Survival Analysis
Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH 44106, USA · Department of Medical Microbiology and Immunology University of Toledo Toledo, OH 43614, USA
Characterizing Treatment-Context Medication Evidence Across Clinic Notes and Structured EHR Medication History
Aug 3, 2026Mingyang Jiang, Congning Ni, Weixin Liu +1Healthcare Clinical Information Extraction
Vanderbilt University, Nashville, TN, USA · Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
Aug 2, 2026Quang Bui, Shlok Jaiswal, Samuel Paik-Heintz +14Missing-Modality Learning Multimodal Robustness
From Prediction to Explainable Provider Behavior Profiles for Fraud, Waste, and Abuse Review
Jul 31, 2026Yubin Park, Evan BrocinerHealthcare
Falcon Health, Inc.
Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study
Jul 31, 2026Muhammad Ashad Kabir, Md Ahshanul HaqueZero-Shot Learning Healthcare
School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia
CardioBench: A Real-World Data Benchmark for Evaluating Large Language Models in Clinically Authentic Cardiovascular Care Scenarios
Jul 28, 2026Xiao Li, Mouxiao Bian, Zhaodi Wu +8Healthcare Clinical Language Model Evaluation
Department of Cardiology, Zhongshan Hospital Fudan University , Shanhai, China · Shanghai Institute of Cardiovascular Diseases, National Clinical , Shanghai, China · Research Center for Interventional Medicine , Shanghai, China +2
Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs
Jul 27, 2026Jianru ShenLLM Self-Correction Healthcare
University of Montana, Missoula, MT 59812, USA
Myopia Prevention and Control 3.0: Artificial Intelligence--Driven Risk Stratification, Proactive Monitoring, and Personalized Intervention
Jul 27, 2026Tieniu Wang, Cangzhu Huang, Qianhui LiHealthcare Clinical Risk Prediction
Shanghai Nile Intelligent Technology Co., Ltd. · Beijing Tanyuan Academy of Intelligent Sensing
RareLens: Towards End-to-End Rare Disease Care via Aligning Divergent Large Language Model Reasoning
Jul 25, 2026Xi Chen, Hongru Zhou, Shiyu Feng +24Rare Disease Diagnosis Healthcare
Sports Medicine Center, Department of Orthopedics and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China · Center for Cleft Lip and Palate Treatment, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China · School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHKSZ), Shenzhen, China +13
Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana
Jul 23, 2026T. Ansah-Narh, Y. Asare AfraneHealthcare Unsupervised Anomaly Detection
Ghana Space Science and Technology Institute, Ghana Atomic Energy Commission, P. O. Box LG 80, Legon, Accra, Ghana · Department of Medical Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana
From Operations to Elderly Care Outcomes: A Thematic Review of Industrial Engineering and Decision-Support Approaches
Jul 21, 2026Shayan Farhang Pazhooh, Fereshteh ParvareshHealthcare Clinical Decision Support
Department of Industrial and Systems Engineering Isfahan University of Technology Isfahan 84156-83111, Iran
Enhancing Personalized Bladder Cancer Treatment Through Reinforcement Learning: A Recurrent Patient State Transition Decision Support Framework
Jul 18, 2026Divyansh Chawla, Anshu Garg, Isshaan SinghReinforcement Learning Healthcare
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai-600 0127, Tamil Nadu, INDIA
3D Geometric Tooth Alignment Planning via Deep Reinforcement Learning
Jul 16, 2026Yong Li, Jianwen Lou, Jiayue Ma +3Reinforcement Learning Healthcare
School of Software Technology, Zhejiang University, Hangzhou, China · State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China · Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China

Aug 14, 2026, cs.AIJ/K move · Enter open · S save

Removing Temporal Note Redundancy Improves Multimodal Reinforcement Learning for Medicine

Chenran Weng, Joo Seung Lee, Malini Mahendra, Anil Aswani

University of California, Berkeley Berkeley, CA, USA · University of California, San Francisco San Francisco, CA, USA

Reinforcement Learning Representation Learning for RL Healthcare Longitudinal EHR Modeling Offline RL

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Mechanical ventilation is a critical life-support intervention, requiring dynamic adjustments to ventilator settings as a patient's condition evolves. While reinforcement learning (RL) offers a promising framework for optimizing these sequential decisions, standard approaches rely primarily on structured electronic health record (EHR) data, missing crucial clinical context recorded in free-text notes. Integrating longitudinal clinical notes into RL state spaces is challenging because notes are heavily inflated by temporal redundancy, such as copy-forward text, templating, and repetitive documentation, which dilutes time-local updates and degrades state representation quality. To address this, we propose a redundancy-aware multimodal state representation framework that explicitly removes duplicated note text over time before policy learning. We evaluate two computationally efficient temporal decomposition strategies for removing duplicated note text: (1) an embedding-space decomposition using singular value decomposition on local history subspaces, and (2) an interpretable sentence-level diff operation that filters out previously documented sentences before text encoding. Using real-world ICU data, we demonstrate that state representations constructed by stripping temporal note redundancy significantly outperform both structured-only and raw-note baselines across multiple off-policy evaluation methods (Model-Based Rollouts, Fitted Q-Evaluation, Weighted Importance Sampling, and Weighted Doubly Robust Evaluation). Our findings show that explicitly isolating new clinical information from repeated note text yields higher-quality state representations and directly improves RL performance for clinical decision support.