Risk Stratification

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6 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

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  1. Explainable Suicide Risk Assessment on Social Media with Multi-Task QLoRA

    Sep 30, 2026Xuan Zhong Feng, Geoffrey Martin, Hexin Dong +1Suicide RiskRisk Stratification

    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA · Systems Engineering, Cornell University, New York, NY, USA

  2. How to Tame a Multi-Headed Hydra? Adaptive Multi-Category Safety Steering for Large Language Models

    Sep 28, 2026Chenxi Wang, Ruiyang Huang, Li Huang +1Large Language Model SafetyLinear Activation Steering

    Southeast University, Nanjing, China · Peking University, Beijing, China · Chongqing University, Chongqing, China

  3. Learning Risk Scores Robust to Unobserved Confounders

    Sep 22, 2026Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3Risk StratificationImportance Weighting

    Center for Artificial Intelligence in Society, University of Southern California, Los Angeles, CA 90089, USA · Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089, USA · Department of Engineering, Department of Economics and Management, University of Luxembourg, L-1359 Luxembourg

  4. MedGate-Fusion: Integrating First-Encounter Semantic Narratives and Physiological Biomarkers for Prospective Stroke Risk Stratification

    Sep 21, 2026Hemn Khdr, Mohammad Noaeen, Karim Keshavjee +2Risk StratificationCardiovascular Risk Prediction

    Dalla Lana School of Public Health, University of Toronto, Toronto, Canada · Department of Information Technology Management, Toronto Metropolitan University, Toronto, Canada · Faculty of Information, University of Toronto, Toronto, Canada +1

  5. Falling Trees: A Model Class for Interpretable Risk Prioritization

    Sep 20, 2026Varun Babbar, Zachery Boner, Margo Seltzer +1Decision TreesRisk Stratification

    Department of Computer Science, Duke University, Durham, NC, USA · Department of Computer Science, University of British Columbia, Vancouver, BC, CA.

  6. X-amine509: Predicting the Practical Risk Level of Enterprise X.509 Certificates

    Sep 8, 2026Cameron Keith, Shubh Patel, JD Kilgallin +1CertificatesSecurity Evaluation

    Analytics and AI Team Keyfactor Hanover, NH · Analytics and AI Team Keyfactor Cleveland, OH

  7. Snugi-AI-v2 @ eRisk 2026 Task 2: Early Depression Detection via a Learned Stopping Policy with Sustained Confidence Gate

    Sep 8, 2026Yuwen ChiuDepressionRisk Stratification

    Georgia Institute of Technology · Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  8. Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment

    Sep 7, 2026Shlok Shelat, Shrey Salvi, Souvik Roy +2Suicide RiskRisk Stratification

    Indian AI Research Organisation · Ahmedabad University · University of Maryland, Baltimore County

  9. Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

    Aug 11, 2026Max A. Nelson, Eminenur Sen Tasci, Zhixiang Wang +12RadiomicsTumor

    Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Chicago, IL, USA · Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA · Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey +2

  10. Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

    Aug 9, 2026Gabriele La Malfa, Lakmal Meegahapola, Edyta Bogucka +4Artificial Intelligence RiskArtificial Intelligence Agents

    1King’s College London, UK · 2Nokia Bell Labs, Cambridge, UK · University of Sussex, UK +1

  11. 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 ManikondaArtificial Intelligence GovernanceCompliance

    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.

  12. Self-supervised DXA representations encode multi-system disease risk, biological aging and heritability

    Aug 3, 2026Gil Sasson, Zachary Levine, Smadar Shilo +9Vascular AgeBiomarker

    Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. · Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel-Aviv, Israel. · The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel. +5

  13. Predictive Maintenance: Deep Learning-Based Remaining Useful Life Prediction for Combat Aircraft Engines

    Aug 3, 2026Fatih Ürgen, Doğay AltınelPredictive MaintenanceUseful Life Prediction

    Istanbul Technical University, Faculty of Science, Department of Physics Engineering, 34467 Istanbul, Türkiye · Istanbul Medeniyet University, Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, 34700 Istanbul, Türkiye

  14. A reproducible and extensible framework for benchmarking competing risks survival models

    Jul 31, 2026Begoña B. Sierra, Colin McLean, Peter S. Hall +2Survival AnalysisRisk Stratification

    Cancer Research UK Scotland Centre · Institute of Genetics and Cancer · University of Edinburgh +2

  15. KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

    Jul 30, 2026Sparsh Roy, Samuel Girmachew, Nishita ChavanFairness AuditsRisk Stratification

    Massachusetts Institute of Technology · Hopewell Valley Central High School · East Brunswick High School

  16. Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

    Jul 9, 2026Peng Cui, Jitao Wang, Siyan Xue +41CholangiocarcinomaRisk Stratification

  17. Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

    Jul 6, 2026Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1Multi-Omic IntegrationRisk Stratification

    Department of Informatics, King’s College London, London WC2B 4BG, United Kingdom · Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore 138632, Singapore · Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester +1

  18. Reliability-Aware CT-MRI Registration: A Quality Engineering Framework with Stability Analysis and Risk Classification

    Jul 1, 2026Nisreen AlbzourImage RegistrationRisk Stratification

    School of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA

  19. Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection

    Jun 26, 2026Muhammad Shakeel Akram, Amal Htait, Abdul Hamid Sadka +2Fraud DetectionFake News Detection

    Aston University, Birmingham,UK. · Domestic & General, Wimbledon, UK.

  20. Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models

    Jun 24, 2026Ruiyu Jia, Yanqi Xu, Yuxuan Chen +2MammographyRisk Stratification

    Department of Mathematics, New York University Shanghai, China · Center for Data Science, New York University, USA · Perlmutter Cancer Center, NYU Langone Health, New York, USA +1

  21. Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

    Jun 24, 2026Nathan Painchaud, Tristan Habémont, Morgane des Ligneris +6Cardiovascular Risk PredictionCoronary Angiography

    INSA-Lyon, Université Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France · Université Jean Monnet Saint-Étienne, CHU Saint-Étienne, Mines Saint-Étienne, INSERM, SAINBIOSE U1059, CIC 1408, Département de Médecine Vasculaire et Thérapeutique, F-CRIN INNOVTE network, all in F-42055, Saint-Étienne, France · Department of Pneumology, CHU Saint-Etienne, UJM Saint-Etienne, France +3

  22. Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis

    Jun 20, 2026Jeffery Opoku, David BanaheneRisk StratificationLatent Confounders

    The University of Texas Rio Grande Valley · Florida International University

  23. Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation

    Jun 19, 2026Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5Polyp SegmentationRisk Stratification

    Departments of Internal Medicine, Pathology, and Biochemistry, and Cancer Center, Howard University College of Medicine, Washington, D.C., 20059, USA. · Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway. · Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK.

  24. Risk Stratification for ICU Delirium using Pervasive Ambient Sensing Information

    Jun 17, 2026Jiaqing Zhang, Sabyasachi Bandyopadhyay, Miguel Contreras +8Intensive Care UnitIntensive Care Unit Mortality Prediction

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, United States · Department of Medicine, Stanford University, Stanford, United States · Department of Biomedical Engineering, University of Florida, Gainesville, United States +1

  25. SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining

    Jun 9, 2026Abdalmalek Aburaddaha, Venkatraman Narayanan, Keval Thaker +1Scene ReasoningMulti--Task Learning

    University of Michigan-Dearborn 4901 Evergreen Rd Dearborn, MI 48128, USA

  26. Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

    Jun 9, 2026Olga Shakhmatova, Dmitrii Kriukov, Daniil Larionov +10Cardiovascular Risk PredictionCardiac

    National Medical Research Center of Cardiology named after Academician E.I. Chazov, Moscow, Russia · Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia · Artificial Intelligence Research Institute (AIRI), Moscow, Russia +8

  27. TRIAGE: Dialectical LLM Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series

    Jun 8, 2026Hyeongwon Jang, Gyouk Chu, Changhun Kim +4Clinical Reasoning TrainingRisk Stratification

    KAIST · AITRICS · University of Wisconsin-Madison

  28. RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations

    Jun 7, 2026Leihan Zhang, Wecheng Ye, Xianlong Ma +5Artificial Intelligence RiskRisk Stratification

    School of Economics and Management, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing,2026 100876, China. · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance, 10 Xitucheng Road, Haidian District, Beijing, 100876, Jun China.

  29. A machine-learning-assisted progressive digit-randomness screening framework for detecting non-random patterns in raw numerical research data

    Jun 5, 2026Zhuphua CaoFalse Discovery RateRandom

    a Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China

  30. Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

    Jun 4, 2026Shengxian Ding, Haonan Gao, Pangpang Liu +2Readmission PredictionRisk Stratification

    Department of Biostatistics, Yale University, New Haven, USA

  31. From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents

    Jun 4, 2026Yuhao Sun, Jiacheng Zhang, Shaanan Cohney +3GuardrailLarge Language Model Safety

    1The University of Melbourne · 2Tsinghua University · †Corresponding author.

  32. Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages

    May 31, 2026Xinze ZhangCholangiocarcinomaRisk Stratification

    University of Southern California, Los Angeles, CA 90007, USA

  33. Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study

    May 24, 2026Mini Han Wang, Liting Huang, Wei Hong +1Retinal ImagingDiabetes

    Faculty of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology, Shenzhen, P.R.China · Frontier Science Computing Center, Zhuhai Institute of Advanced Technology Chinese Academy of Sciences, Zhuhai, P.R.China · Chinese University of Hong Kong, Hong Kong China +2

  34. Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations

    May 21, 2026Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau +1Suicide RiskVideo Surveillance

    Universit´e T´ELUQ, QC, Canada · Polytechnique Montr´eal, QC, Canada · Universit´e du Qu´ebec `a Montr´eal, QC, Canada

  35. Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study

    May 20, 2026Michael O. EnioladeChronic Kidney DiseaseRisk Stratification

    University of the Cumberlands

  36. Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification

    May 19, 2026Ananth Sriram, Neel Mokaria, Rajveer SinghVideo SurveillanceViolation

    Department of Computer Science, University of Maryland, College Park, MD, USA

  37. Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization

    May 18, 2026Ying Cui, Albert M Li, Vivek Charu +3Risk StratificationMultimorbidity

    Department of Biomedical Data Science, Stanford University · Decatur High School · Department of Pathology, Stanford University School of Medicine +1

  38. A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

    May 14, 2026Aueaphum AueawatthanaphisutCoronary AngiographyCardiovascular Risk Prediction

    School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand

  39. Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization

    May 12, 2026Yunfei Nie, Jiawei Wang, Ruobing Yan +3Fraud DetectionGraph Representation Learning

    Brandeis University, Waltham, USA · University of California, Los Angeles, USA · Georgetown University, Washington, D.C., USA +2

  40. Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers

    May 9, 2026Mehrab Mahdian, Marko Lehes, Katrin Krolov +1Risk StratificationBiomarker

    Tallinn University of Technology (TalTech), Tallinn, Estonia · Selfdiagnostics Deutschland GmbH, Tallinn, Estonia · Capitol Technology University, Laurel, MD, USA +1

  41. From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning

    May 6, 2026Xiao Wang, Yifei Zhang, YongKang Liu +4Large Language Model SafetyLarge Language Model Fine-Tuning

    School of Computer Science and Engineering, Northeastern University, Shenyang, China · School of Computer and Communication Engineering, Northeastern University, Qinhuangdao, China

  42. Gradient Boosted Risk Scores

    May 4, 2026Costa Georgantas, Jonas RichiardiRisk StratificationGradient Boosted Decision Tree

    †Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland

  43. Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank

    May 1, 2026Seowung Leem, Yunchao Yang, Adam J. Woods +1AlzheimerRetinal Imaging

    1J. Crayton Pruitt Family Dept. of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA · University of Florida Research Computing, University of Florida, Gainesville, FL 32611, USA · Meta AI (FAIR) +4

  44. EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification

    Apr 26, 2026Weiye Dai, Liyun Shi, Zanxiang He +4Risk StratificationMultidisciplinary Tumor Boards

    aShenzhen Technology University, Shenzhen, China · bShenzhen People’s Hospital, Shenzhen, China · dShenzhen University, Shenzhen, China +1

  45. Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA

    Apr 20, 2026Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun +1Wildfire PredictionArtificial Intelligence Literacy

    The University of North Carolina at Charlotte, Charlotte, NC · California State University, Los Angeles, CA

  46. Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit

    Apr 5, 2026Wenhao Chi, Ş. İlker BirbilRisk StratificationUtility Maximization

    Yau Mathematical Sciences Center, Tsinghua University · Amsterdam Business School, University of Amsterdam

  47. CORA: Generalizable coronary artery disease assessment and risk stratification from coronary CT angiography using pathology-centric representation learning

    Mar 25, 2026Jinkui Hao, Gorkem Durak, Halil Ertugrul Aktas +4Coronary AngiographyRisk Stratification

    Department of Radiology, Northwestern University, Chicago, IL, USA · Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA · Department of Cardiology, Northwestern University, Chicago, IL, USA +1