Medication Recommendation

Latest papers

18 papers5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation
Oct 14, 2026Min Xiao, Jin Li, Shoujin Wang +3Medication Recommendation Clinical Decision Support
Key Laboratory of Computing Power Network and Information Security, Ministry of Education; Shandong Computer Science Center (National Supercomputer Center in Jinan); Qilu University of Technology (Shandong Academy of Sciences); Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing; Shandong Fundamental Research Center for Computer Science, Jinan, Shandong, China · University of Technology Sydney
ARMED: Adaptive Retrieval-Augmented Medication Recommendation
Oct 12, 2026Kyungkeon Chung, Se Un Park, Hyejin Lee +1Medication Recommendation Adaptive RAG
UX Factory, Inc., Seongnam-si, South Korea
Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
Oct 10, 2026Rui Hua, Yu Wei, Ziri Jin +15Traditional Chinese Medicine Medical LLMs
School of Computer Science & Technology, Beijing Jiaotong University, Beijing, 100044, China · Tianjin Tasly Digital Chinese Medicine Technology Co., Ltd., Tianjin, 300410, China · Tasly Biopharmaceuticals Co., Ltd., Tianjin, 300410, China +8
RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
Oct 10, 2026Cong Wang, Jin Li, Shoujin Wang +3Medication Recommendation Clinical Decision Support
Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences); Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, Shandong, China · University of Technology Sydney, Sydney, NSW, Australia
RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction
Oct 2, 2026Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Chen Chen +2Medication Recommendation Text Summarization
Electrical Engineering and Computer Science, University of Kansas, USA
HADRec: A Hierarchy-Aware Drug Recommendation Framework by Fusing Molecular Knowledge and Electronic Health Record
Oct 1, 2026Junke Wang, Hongshun Ling, Li Zhang +4Clinical Decision Support Medication Recommendation
School of Biomedical Engineering,South-Central Minzu University, 182 Minzu Avenue, Hongshan District, WuHan, 430074, HuBei, China
HCOE: Hyperbolic Clinical Ontology Embeddings from Biomedical Language Models
Sep 25, 2026Yixuan Li, Weihao Li, Ziyang SongMedication Recommendation Hierarchical Representation Learning
McGill University · Northwestern University · Ohio University
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
MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records
Aug 5, 2026Anirudh Rayas, Yuan Wang, Pavan TuragaMedication Recommendation Heterogeneous GNNs
Arizona State University, Tempe, AZ, USA · University of South Carolina, Columbia, SC, USA
GRAIN: Molecules Are Not the Right Granularity -- Active-Ingredient Modeling for Safe Medication Recommendation
Jul 30, 2026Juao Fan, Jinhan Li, Shengxin ZhuMedication Recommendation Clinical Decision Support
Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Beijing Normal–Hong Kong Baptist University, Zhuhai, China
Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models
Jul 23, 2026Shinhwan Kang, Soo Yong Lee, Jaewon Kim +2Medication Recommendation Clinical Decision Support
KAIST Seoul, South Korea · KAIST Daejeon, South Korea · Korea University Seoul, South Korea
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
Jun 30, 2026Shreyas Rajesh, Kartik Sharma, Tonmoy Monsoor +8Prompt Learning Selective Prediction
Electrical and Computer Engineering, University of California, Los Angeles · Makerere University · St. Francis Hospital Nsambya +1
An AI agent for treatment reasoning over a biomedical tool universe
Jun 27, 2026Shanghua Gao, Ayush Noori, Richard Zhu +13Clinical Decision-Making LLM Agent Training
Department of Biomedical Informatics, Harvard Medical School, Boston, MA · Department of Engineering Science, University of Oxford, Oxford, UK · The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA +16
SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation
May 27, 2026Xinyu Wang, Hanwei Wu, Zhenghan Tai +7Medication Recommendation Multi-Agent LLM Systems
McGill University · McMaster University · University of Toronto +1
RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
May 14, 2026Shuhao Chen, Weisen Jiang, Changmiao Wang +4Medication Recommendation Healthcare
The Hong Kong University of Science and Technology · Southern University of Science and Technology · The Chinese University of Hong Kong +2
GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation
Mar 21, 2026Krati Saxena, Tomohiro ShibataMedication Recommendation Differential Attention
Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
Mar 19, 2026Xiangxu Zhang, Xiao Zhou, Hongteng Xu +1Medication Recommendation Recommender Systems
Gaoling School of Artificial Intelligence, Renmin University of China, China · Beijing Key Laboratory of Research on Large Models and Intelligent Governance · Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE +1
PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation
Mar 18, 2026Chaeyoung Huh, Hyunmin Hwang, Jung Hwan Shin +3Retrieval-Augmented Generation Clinical Decision Support
1Korea Advanced Institute of Science and Technology, KAIST, Republic of Korea · Department of Neurology, Seoul National University Hospital, Republic of Korea · 3Asan Medical Center, University of Ulsan, College of Medicine, Republic of Korea +1

Oct 14, 2026J/K move · Enter open · S save

HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation

Min Xiao, Jin Li, Shoujin Wang, Yeguang Zhen+2

Key Laboratory of Computing Power Network and Information Security, Ministry of Education; Shandong Computer Science Center (National Supercomputer Center in Jinan); Qilu University of Technology (Shandong Academy of Sciences); Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing; Shandong Fundamental Research Center for Computer Science, Jinan, Shandong, China · University of Technology Sydney

Medication Recommendation Clinical Decision Support Memory-Augmented Agents Memory-Augmented Neural Networks

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Medication recommendation (MR) is critical for clinical decision support. While existing MR methods are mostly designed for single-center learning, where only one independent hospital is involved, multi-center MR with hospitals of different scales has become increasingly demanding in practice. In multi center settings, abundant data from large medical centers can improve recommendation performance for low-resource centers. Despite a few preliminary attempts on this task, two critical gaps remain. Gap 1: Existing multi-center methods fail to disentangle transferable cross-hospital clinical experience from hospital-specific prescribing patterns, limiting clinical feasibility and physician acceptance. Gap 2: They commonly overlook multi label safety constraints of MR, including drug-drug interaction risks and local formulary feasibility, which are essential for safe real-world deployment. To address these gaps, we propose HEM-Med, a novel hierarchical agentic memory framework for multi-center MR. To address Gap 1, we design a disentangled hierarchical memory module that builds patient-level medication context attribution records and disentangles them into cross hospital experience memory and hospital-specific residual memory. To address Gap 2, we introduce a safety-aware medication set generation module, which integrates dual-level experience retrieval with safety-aware set decoding to produce clinically relevant, safer, and locally adaptive medication recommendations. Experiments on a real-world multi-center eICU dataset show that HEM-Med outperforms representative transfer learning, LLM-based, and MR baselines in terms of both recommendation accuracy and safety.