Clinical Risk Prediction

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21 papers in the last four weeks, up 600% on the four weeks before. 0.2% of all new papers.

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

    Aug 3, 2026Gil Sasson, Zachary Levine, Smadar Shilo +9Medical ImagingMedical Image Representation Learning

    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

  2. What Is Missing in Surgical Risk Stratification and Outcome Prediction: A Scoping Review of End-to-End Machine Learning Approaches

    Jul 31, 2026Yizhi Dong, Yuhe Ke, Hairil Rizal Abdullah +4Clinical Outcome PredictionClinical Risk Prediction

    Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549 · Data Science and Artificial Intelligence Lab, Singapore General Hospital, Singapore 169608 · Duke-NUS Medical School, Singapore 169857 +5

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

    Jul 30, 2026Sparsh Roy, Samuel Girmachew, Nishita ChavanDistribution Shift RobustnessAlgorithmic Fairness

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

  4. Improving Mental Health Screening and Early Risk Detection in Spanish

    Jul 30, 2026Andreu Casamayor-Segarra, Vicent Ahuir, Antonio Molina-Marco +1Social Media AnalysisMental Health

    VRAIN: Valencian Research Institute for Artificial Intelligence Universitat Polit`ecnica de Val`encia Val`encia, Spain · VRAIN: Valencian Research Institute for Artificial Intelligence Universitat Polit`ecnica de Val`encia ValgrAI: Valencian Graduate School and Research Network of Artificial Intelligence Val`encia, Spain

  5. Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning

    Jul 28, 2026Md Zahid Hasan Ontor, Md Al Amin, Anik Dev Nath +1Clinical Risk Prediction

    Dept. of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka 1216, Bangladesh · Dept. of Electrical & Electronics Engineering, Ahsanullah University of Science & Technology, Tejgaon, Dhaka, Bangladesh · Dept. of Information, Communication & Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Dhaka

  6. Myopia Prevention and Control 3.0: Artificial Intelligence--Driven Risk Stratification, Proactive Monitoring, and Personalized Intervention

    Jul 27, 2026Tieniu Wang, Cangzhu Huang, Qianhui LiHealthcareClinical Risk Prediction

    Shanghai Nile Intelligent Technology Co., Ltd. · Beijing Tanyuan Academy of Intelligent Sensing

  7. Fracture Risk Prediction in Adults Over 50 Years Old Using DXA and EHR: Comparison of Traditional and Machine Learning Models in Two Large Cohorts

    Jul 25, 2026Jiahe Qian, Hao Dai, Kunyu Yu +6Clinical Risk Prediction

    Department of Population Health Sciences, Weill Cornell Medicine, New York, USA · Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indiana, USA · Department of Medicine, School of Medicine, Indiana University, Indiana, USA +2

  8. 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 DiagnosisHealthcare

    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

  9. Metamorphic Testing for Clinical ML Models: A Framework Proposal and Pilot Study

    Jul 25, 2026Jie JW Wu, Feiyu E, Bo ChenMetamorphic TestingClinical Outcome Prediction

    Michigan Technological University Houghton, MI, USA

  10. Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking

    Jul 24, 2026Siyuan Zhao, Eric Ababio Anyimadu, Zachary G. Brumm +5Clinical Outcome PredictionClinical Risk Prediction

    Department of Computer Science, University of Illinois Chicago, Chicago, IL, USA · Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA · Department of Otolaryngology, University of California, San Francisco, San Francisco, CA, USA +1

  11. A Framework for Early Sepsis Prediction via Self-Supervised (JEPA) and Federated Representation Learning

    Jul 18, 2026Umair bin Mansoor, Munaf Rashid, Roomi NaqviSelf-Supervised Pre-TrainingJoint-Embedding Predictive Architecture

    Electrical Engg. Department, DHA Suffa University, Karachi, Pakistan · Salim Habib University, Karachi, Sindh, Pakistan · Intel Foundry Services, Intel, Tempe, Arizona, United States

  12. CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data

    Jul 17, 2026S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1Multi-Task LearningModel Calibration

    School of Computing, Wichita State University, Kansas, USA · Department of Computer Science and Engineering, American International University-Bangladesh, Bangladesh · School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

  13. Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization

    Jul 16, 2026Antony Garcia, Adrian Noriega, Gabrielle Britton +1Interpretable MLClinical Risk Prediction

    Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA · Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Panama City 0819-07289, Panama · Massachusetts Institute of Technology, Cambridge, MA 02139, USA +4

  14. Assessing Physical Frailty and Fall-Risk Indicators with Social Robots: An in situ Evaluation with Older Adults

    Jul 16, 2026Aniol Civit, Antonio Andriella, Alba Martínez +4Assistive RoboticsHuman-Robot Interaction

    Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028 Barcelona, Spain · Parc Sanitari Pere Virgili, Area of Intermediate Care, Barcelona, Spain · RE-FiT Barcelona Research Group, Vall d’Hebron Institute of Research and Parc Sanitari Pere Virgili, Barcelona, Spain +1

  15. TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories

    Jul 15, 2026Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5Clinical PredictionLongitudinal EHR Modeling

    Baylor College of Medicine

  16. Longitudinal Multi-View Breast Cancer Risk Prediction

    Jul 13, 2026Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin +5Breast CancerLongitudinal Medical Image Analysis

    Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway · SPKI The Norwegian Centre for Clinical Artificial Intelligence, University Hospital of North Norway, Tromsø, Norway · Norwegian Computing Center, Oslo, Norway +1

  17. Evaluating Reliability in Machine Learning Models for Early Chronic Kidney Disease Prediction: A Systematic Review of Data Leakage and Predictor Stability

    Jul 12, 2026Mashrul Hossain, Nafesa Kibria, Fahim ShahriarData LeakageClinical Prediction

    East West University, Dhaka, Bangladesh

  18. Pitfalls of Administrative Censoring in Survival Models with Time-Indexed Inputs

    Jul 11, 2026Yanqi Xu, Hui Dai, Carlos Fernandez-Granda +2Data LeakageSurvival Analysis

    Center for Data Science, New York University · University of Chicagoy · 3NYU Grossman School of Medicine +1

  19. A Personalized Computational Framework for Assessing the Sufficiency of Partially Observed Data in Healthcare AI models

    Jul 10, 2026Qingchu Jin, Felistas Mazhude, Jamie B. Rabb +3Learning with Missing DataClinical Outcome Prediction

    Roux Institute, Northeastern University, ME USA · MaineHealth Institute for Research, ME USA · MaineHealth, ME USA +3

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

    Jul 9, 2026Peng Cui, Jitao Wang, Siyan Xue +41Cancer Survival PredictionClinical Decision Support

  21. Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction

    Jul 9, 2026Hyunho Mo, Djura Smits, Mahlet A. Birhanu +4Privacy-Preserving MLClinical Risk Prediction

    Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands · 2Netherlands eScience Center, Matrix THREE, Science Park 402, Amsterdam, 1098 XH, The Netherlands · Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands +2

  22. Physical activities enable scalable foundation modelling for broad-spectrum health prediction

    Jul 8, 2026Zhenghuang Wu, Yuyao Zhu, Songlin XuWearable Health MonitoringTime-Series Foundation Models

    Beihang University, Beijing, China · University of Science and Technology of China, Hefei, China · The Hong Kong Polytechnic University, Hong Kong SAR, China

  23. Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring

    Jul 6, 2026Aditi Naiknaware, Jian Sun, Aminreza Khandan +4VLM AdaptationLow-Rank Adaptation

    1San Diego State University · University of California, Los Angeles · University of California, Davis

  24. GlaKG: A Biomarker-Centric Fundus Knowledge Graph for Explainable Glaucoma Diagnosis and Risk Assessment

    Jul 6, 2026Cheng Huang, Jia Zhang, Yi Jiang +7Medical Image AnalysisMedical Diagnosis

    University of Texas Southwestern Medical Center · 2Southern Methodist University · 3Nanyang Technological University +1

  25. Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

    Jun 29, 2026Federico FelizziAlgorithmic FairnessWearable Health Monitoring

    SIIAM, Rome, Italy · enGene Statistics, Basel, Switzerland.

  26. CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models

    Jun 29, 2026Leon Hamnett, Favour Igwezeke, Joseph Itopa Abubakar +1Clinical Decision SupportClinical NLP

    CaresAI, Australia · Faculty of Pharmaceutical Sciences, Nsukka Enugu, Nigeria · Menzies School of Health Research, Australia

  27. CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

    Jun 29, 2026Sijia Li, Xiaoyu Tan, Chen Zhan +3Class-Imbalanced LearningGradient-Boosted Decision Trees

    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China · Tencent YouTu Lab, Shanghai 200232, China · Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, China +1

  28. A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI

    Jun 25, 2026David Brüggemann, Ekaterina Krymova, Firat Özdemir +6Latent Dynamics ModelingMedical Image Analysis

    Swiss Data Science Center, EPFL and ETH Zürich, Switzerland · Diagnostic and Interventional Radiology, University Hospital Zürich, Switzerland · Institute for Biomedical Engineering, University and ETH Zürich, Switzerland +2

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

    Jun 24, 2026Ruiyu Jia, Yanqi Xu, Yuxuan Chen +2Breast CancerMedical Image Analysis

    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

  30. 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 +6Graph Neural NetworksClinical Risk Prediction

    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