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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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Conditional outlier detection for clinical alerting
May 6, 2026Milos Hauskrecht, Michal Valko, Shyam Visweswaran +3Healthcare Clinical Decision Support
Computer Science Department · Department of Biomedical Informatics · Department of Critical Care Medicine
Curated AI beats frontier LLMs at pharma asset discovery
May 6, 2026Łukasz Kidziński, Kevin ThomasLLM Evaluation Healthcare
Gosset Research
Feature importance analysis for patient management decisions
May 6, 2026Michal Valko, Milos HauskrechtFeature Attribution Healthcare
Department of Computer Science, University of Pittsburgh, Pittsburgh, PA
Ask Before You Diagnose: Safe-Psych, a Sequential Evaluation Benchmark for LLMs in Psychiatry
May 6, 2026Oriana Presacan, Andreea Grama, Larisa Irimină +6Selective Prediction Healthcare
National University of Science and Technology Politehnica Bucharest · Psychiatric Hospital Doctor Gheorghe Preda · Oslo Metropolitan University +3
A Breast Vision Pathology Foundation Model for Real-world Clinical Utility
May 6, 2026Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32Healthcare Clinical Decision Support
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China · Department of Pathology, Nanfang Hospital, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China · Department of Pathology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China +18
FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
May 5, 2026Farjana YesminExplainable Artificial Intelligence Healthcare
Independent Researcher · Boston, MA, USA · MA
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
May 5, 2026Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh +6Named Entity Recognition Healthcare
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States · School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States · School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77054, United States +1
MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs
May 5, 2026Tung Sum Thomas Kwok, Qian Qian, Xiaofeng Lin +8Healthcare Hallucination Detection
University of California, Los Angeles CA 90095, USA · Optum AI, USA
Safety and accuracy follow different scaling laws in clinical large language models
May 5, 2026Sebastian Wind, Tri-Thien Nguyen, Jeta Sopa +9LLM Safety Benchmarks Retrieval-Augmented Generation
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Institute of Radiology, University Hospital Erlangen, Erlangen, Germany · Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany +3
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment
May 5, 2026Joseph Breda, Fadi Yousif, Beszel Hawkins +30Healthcare Medical Diagnosis
Google Research · Work done while at Google Research · Google DeepMind
Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial
May 5, 2026Lisa C. Adams, Linus Marx, Erik Thiele Orberg +8Healthcare Clinical Decision Support
Department of Diagnostic and Interventional Radiology, TUM University Hospital Rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany · Department of Radiation Oncology, TUM University Hospital Rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany · Department of Internal Medicine III: Hematology and Clinical Oncology, University Hospital Regensburg, University of Regensburg, Regensburg, Germany +4
BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA
May 5, 2026Richard A. A. Jonker, Alexander Christiansen, Alexandros Maniatis +4LLM Grounding Healthcare
Aalborg University Business School Fibigerstræde 2, Aalborg East 9220, Denmark · IEETA, DETI, LASI, University of Aveiro Campus Universitário de Santiago, Aveiro 3810-193, Portugal
Enhance the after-discharge mortality rate prediction via learning from the medical notes
May 5, 2026Zijiang YangHealthcare Clinical Outcome Prediction
University of Texas at Austin, Austin TX 78712, USA
DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset
May 5, 2026Carlijn Lems, Sander Moonemans, Natálie Klubíčková +53Computational Pathology Healthcare
CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification
May 5, 2026Severin Ye, Xiao Kong, Xiaopeng He +2Healthcare Hallucination Detection
School of Computer Science and Engineering Kyungpook National University Daegu, Republic of Korea · School of Airspace Science and Engineering Shandong University Weihai, China · Department of English Language and Literature, Kyungpook National University, Daegu, Republic of Korea
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
May 5, 2026Jose D. Posada, David Love, Somalee Datta +1Healthcare Clinical Information Extraction
Technology & Digital Solutions Stanford Medicine · Stanford Medicine
MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
May 4, 2026Yingyun Li, Yu Wang, Haiyang QianHealthcare Document Information Extraction
AI Starfish, China
Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
May 4, 2026Fan Ma, Yuntian Liu, Xiang Lan +22Healthcare Time Series Forecasting
Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT, USA · Department of Medical, Surgical and Health Sciences, Università degli Studi di Trieste, Trieste, Italy · Applied Mathematics and Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA, USA +6
Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
May 4, 2026Joshua Strong, Pramit Saha, Emma Sun +2Hierarchical Classification Multi-Label Classification
Department of Engineering Science, University of Oxford, UK · Nuffield Division of Anaesthetics, University of Oxford, The John Radcliffe Hospital, UK
Scientific Domain Knowledge Improves Vision-Language Fundus Models
May 4, 2026Verena Jasmin Hallitschke, Carsten Eickhoff, Philipp BerensHealthcare Medical Diagnosis
1Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany · Institute for Applied Medical Informatics, University of Tübingen, Tübingen, Germany · 2Tübingen AI Center, Tübingen, Germany
An Empirical Study of Agent Skills for Healthcare: Practice, Gaps, and Governance
May 4, 2026Gelei Xu, Ningzhi Tang, Xueyang Li +4Healthcare AI Agent Safety
University of Notre Dame · Emory University
Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability
May 4, 2026Firas Mohamed Elamine Kiram, Imane Youkana, Rachida Saouli +2Reinforcement Learning Healthcare
Dept. of Information Engineering University of Padova Padova, Italy · LINFI Lab, Dept. of Computer Science University of Biskra Biskra, Algeria
Reliability-Oriented Multilingual Orthopedic Diagnosis: A Domain-Adaptive Modeling and a Conceptual Validation Framework
May 4, 2026Danish Ali, Li Xiaojian, Sundas Iqbal +1Multilingual Language Model Evaluation Healthcare
School of Computer Science, Wuhan University, China · School of Software, Nanjing University of Information Science and Technology (NUIST), China · Department of Orthopedic, Bahawal Victoria Hospital, Pakistan
PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
May 4, 2026Ruoqi Liu, Imran Q. Mohiuddin, Austin J. Schoeffler +10Healthcare Long-Horizon Agent Evaluation
Stanford University
H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction
May 4, 2026Zhexi Gu, Jiaxin Ying, Xu-Wen Wang +1Healthcare Link Prediction
School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA · School of Data Science and Society, the Department of Mathematics, and the Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
MedScribe: Clinically Grounded CT Reporting through Agentic Workflows
May 3, 2026Giuseppe A. Orlando, Paolo Papotti, Maria A. Zuluaga +2Radiology Report Generation Healthcare
Inria Centre at Université Côte d’Azur Sophia Antipolis, France · EURECOM Biot, France · Dep. of Nuclear Medicine, Centre Antoine Lacassagne Nice, France Université Côte d’Azur, CNRS, Inserm, iBV
Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
May 2, 2026Vicent Briva-IglesiasMultilingual Language Model Evaluation Language Model Safety Evaluation
School of Applied Languages and Intercultural Studies (SALIS) · CTTS, ADAPT Centre · Dublin City University
Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks
May 2, 2026Benjamin Warner, Ratna Sagari Grandhi, Max Kieffer +32LLM Evaluation Healthcare
Sophont · MedARC · Prime Intellect
Interactive Multi-Turn Retrieval for Health Videos
May 2, 2026Chengzheng Wu, Ke Qiu, Baoming Zhang +3Healthcare Cross-Modal Retrieval
Wuxi Dipont School of Arts and Science · Malou Tech · Chongqing University +2
Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines
May 1, 2026Hugo Abonizio, Filipe Rocha Lopes, Roberto Lotufo +1Knowledge Augmentation for Language Models Healthcare
FEEC, UNICAMP, Campinas, Brazil · NoHarm.ai, Brazil · Maritaca AI, Brazil

May 6, 2026J/K move · Enter open · S save

Conditional outlier detection for clinical alerting

Milos Hauskrecht, Michal Valko, Shyam Visweswaran, Iyad Batal+2

Computer Science Department · Department of Biomedical Informatics · Department of Critical Care Medicine

Healthcare Clinical Decision Support Anomaly Detection

Open paper AskPDF arXiv

We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management actions using past patient cases stored in an electronic health record (EHR) system. Our hypothesis is that patient-management actions that are unusual with respect to past patients may be due to a potential error and that it is worthwhile to raise an alert if such a condition is encountered. We evaluate this hypothesis using data obtained from the electronic health records of 4,486 post-cardiac surgical patients. We base the evaluation on the opinions of a panel of experts. The results support that anomaly-based alerting can have reasonably low false alert rates and that stronger anomalies are correlated with higher alert rates.