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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Ground Truths in Suicide Research: The Current State of AI-Based Suicide Detection in Social Media
May 26, 2026Yaakov Ophir, Ofri Hefetz, Refael Tikochinski +6Social Media Analysis Suicide Risk Modeling
Ariel University · University of Cambridge · Reichman University +5
Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
May 26, 2026Yusuf Brima, Marcellin Atemkeng, Lansana Hassim Kallon +4Tabular Foundation Models Few-Shot Learning
Computer Vision, Institute of Cognitive Science, Osnabrück University, Germany · Department of Mathematics, Rhodes University, South Africa · National Institute for Theoretical and computational Sciences (NITheCS), Stellenbosch, 7600, South Africa +6
Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
May 24, 2026Mini Han Wang, Liting Huang, Wei Hong +1Type 1 Diabetes Clinical Outcome Prediction
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
Associations between echocardiographic traits and AI-ECG predictions of heart failure
May 23, 2026Elias Stenhede, Eivind Bjørkan Orstad, Torbjørn Omland +2Electrocardiography Echocardiography
Medical Technology & E-Health, Akershus University Hospital, 1478 Lørenskog, Norway · Faculty of Medicine, University of Oslo, 0372 Oslo, Norway · Department of Cardiology, Akershus University Hospital, 1478 Lørenskog, Norway +1
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
May 22, 2026Siqi Li, Chuan Hong, Ziye Tian +9Healthcare Clinical Outcome Prediction
Centre for Biomedical Data Science, Duke-NUS Medical School, Singapore · 2Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore · Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA +13
Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies
May 21, 2026Junyu Yan, Damian Machlanski, Kurt Butler +4Feature Interaction Modeling Explainable Artificial Intelligence
School of Engineering, University of Edinburgh, Edinburgh, UK · Causality in Healthcare AI Hub (CHAI), UK · Advanced Care Research Centre, Usher School of Population Health Sciences, University of Edinburgh, Edinburgh, UK +1
Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes
May 21, 2026Varsha Sharma, Prasanta K. Guha, Avik GhoseClinical Risk Prediction
TCS Research, India · Department of E&ECE, IIT Kharagpur, India
Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans
May 20, 2026Juhwan Lee, Ammar Hoori, Tao Hu +7Radiomics Computed Tomography
Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, 23284, USA · Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA · Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA +2
Quantitative coronary calcification analysis for prediction of myocardial ischemia using non-contrast CT calcium scoring
May 20, 2026Juhwan Lee, Sadeer Al-Kindi, Ammar Hoori +6Clinical Outcome Prediction Radiomics
Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, 23284, USA · Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA · DeBakey Heart and Vascular Institute, Houston Methodist Hospital, Houston, TX, 77030 +2
Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study
May 20, 2026Michael O. EnioladeUncertainty Quantification Conformal Prediction
University of the Cumberlands
Reliable Automated Triage in Spanish Clinical Notes: A Hybrid Framework for Risk-Aware HIV Suspicion Identification
May 20, 2026Rodrigo Morales-Sánchez, Soto Montalvo, Raquel MartínezSelective Prediction Healthcare
Dept. Lenguajes y Sistemas Informáticos, ETSI Informática, Universidad Nacional de Educación a Distancia (UNED) · Dept. Informática y Estadística, ETSI Informática, Universidad Rey Juan Carlos (URJC)
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
May 19, 2026Athanasios Angelakis, Gabriele De Vito, Eleni-Myrto Trifylli +1Shallow Neural Networks Tabular ML
BioML Lab, RI CODE, UniBw, Munich, Germany · Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, Netherlands · Alpha Indicium, Rijswijk, Netherlands +2
A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
May 19, 2026Rui Huang, Lican HuangClass-Imbalanced Learning Interpretable ML
School of Basic Medicine, Hangzhou Normal University, No.2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China. · Research Department, Hangzhou Domain Zones Technology Co.Ltd.,2026 200 Zhenhua Rd, West District, Hangzhou, 310030, Zhejiang, China.
Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization
May 18, 2026Ying Cui, Albert M Li, Vivek Charu +3Interpretable ML Clinical Risk Prediction
Department of Biomedical Data Science, Stanford University · Decatur High School · Department of Pathology, Stanford University School of Medicine +1
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
May 18, 2026Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat +1Depression Detection Mental Health
University of Minnesota · University of Edinburgh
ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
May 17, 2026Zhikang Chen, Yue Wang, Sen Cui +4Conditional Diffusion Models Clinical Risk Prediction
University of Oxford · Tsinghua University · Southern University of Science and Technology
COTCAgent: Preventive Consultation via Probabilistic Chain-of-Thought Completion
May 14, 2026Zihan Deng, Xiaozhen Zhong, Chuanzhi XuHealthcare Clinical Decision Support
School of Computing and Data Science, The University of Hong Kong · 2Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China · School of Computer Science, The University of Sydney
A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction
May 14, 2026Aueaphum AueawatthanaphisutUltrasound Image Segmentation Clinical Risk Prediction
School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand
Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion
May 13, 2026Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos +1Wearable Health Monitoring Time-Series Anomaly Detection
School of ECE, National Technical University of Athens, Greece · Robotics Institute, Athena Research and Innovation Center, Greece · HERON - Hellenic Robotics Center of Excellence, Athens, Greece
Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data
May 13, 2026Chuanchuan Sun, Zhen Yu, Qin Fan +2Clinical Risk Prediction
Public Health and Preventive Medicine of Peking University School of Public Health, Peking University, Beijing, 100191, China · Department of Nephrology, Peking University International Hospital, Beijing, 102206, China. · National Institute of Health Data Science, Peking University, Beijing, 100191, China. +1
AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks
May 11, 2026Baraa Al Jorf, Farah E. ShamoutMulti-Agent LLM Systems LLM Agent Evaluation
New York University Abu Dhabi, UAE
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 +1Clinical Decision Support Clinical Risk Prediction
Tallinn University of Technology (TalTech), Tallinn, Estonia · Selfdiagnostics Deutschland GmbH, Tallinn, Estonia · Capitol Technology University, Laurel, MD, USA +1
External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
May 6, 2026Yuxuan Chen, Arianna Bunnell, Yanqi Xu +4Medical Image Classification Ultrasound Imaging
aPerlmutter Cancer Center, NYU Langone Health, New York, NY, USA · cUniversity of Hawai’i Cancer Center, Honolulu, HI, USA · dUniversity of Hawai’i at M¯anoa, Honolulu, HI, USA +3
From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
May 5, 2026Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile +1Predictive Process Monitoring Process Mining
Department of Informatics, University of Bari Aldo Moro, Bari, Italy · Department of Engineering, University of Sannio, Benevento, Italy · Department of Economy and Law, UnitelmaSapienza University, Rome, Italy
EFGPP: Exploratory framework for genotype-phenotype prediction
May 2, 2026Muhammad Muneeb, David B. AscherGenomics Multimodal Fusion
School of Chemistry and Molecular Biology, The University of Queensland, Brisbane, 4067, Australia · Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, 3004, Australia
Temporal Data Requirement for Predicting Unplanned Hospital Readmissions
May 1, 2026Ramin Mohammadi, Vahab vahdat, Sarthak Jain +3Clinical Outcome Prediction Clinical Prediction
Northeastern University, Boston, MA, US · Partners Healthcare Connected Health Innovation, Boston, MA, USA · MGH Institute for Technology Assessment, Boston, MA, USA +2
Deep Kernel Learning for Stratifying Glaucoma Trajectories
May 1, 2026Bruce Rushing, Angela Danquah, Alireza Namazi +2Clinical Outcome Prediction Kernel Methods
Research Computing, University of Virginia · School of Data Science, University of Virginia · School of Medicine, University of Virginia
From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting
May 1, 2026Alireza Namazi, Heman ShakeriHealthcare Clinical Decision Support
Department of Computer Science University of Virginia Charlottesville, VA, USA · School of Data Science University of Virginia Charlottesville, VA, USA
PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking
Apr 30, 2026Qing Lyu, Jeremy Hudson, Mohammad Kawas +3Alzheimer's Disease Survival Analysis
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510 USA · Department of Radiology Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157 USA · Department of Applied Mathematics & Statistics and Department of Computer Science, Stony Brook University, Stony Brook, NY 11794 USA
Simulating clinical interventions with a generative multimodal model of human physiology
Apr 30, 2026Guy Lutsker, Gal Sapir, Jordi Merino +7Multivariate Time Series Forecasting Healthcare
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. · Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel. · NVIDIA, Tel Aviv, Israel. +5

May 26, 2026, cs.CYJ/K move · Enter open · S save

Ground Truths in Suicide Research: The Current State of AI-Based Suicide Detection in Social Media

Yaakov Ophir, Ofri Hefetz, Refael Tikochinski, Kfir Bar+5

Ariel University · University of Cambridge · Reichman University+5

Social Media Analysis Suicide Risk Modeling Clinical Risk Prediction

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Recent advances in artificial intelligence (AI) and social media data have led to growing optimism about the ability to detect suicide risk at scale. However, the empirical foundations of this work remain unclear. This article provides a synthesis of current research on AI-based suicide detection in social media, drawing on a recent umbrella review of 22 systematic reviews covering studies up to 2022, alongside an ongoing literature review extending the analysis to more recent work. Across these sources, we identified 195 relevant studies, which are documented in a detailed supplementary dataset outlining their key characteristics and findings (see Supplementary Information). Analysis of these studies reveals consistent patterns, including rapid growth, concentration on a small number of platforms, reliance on textual and English-language data, and repeated use of similar datasets. Most importantly, the majority of studies rely on indirect labeling strategies that do not involve direct, individual-level validation of suicide risk. Instead, ground truth is typically inferred from observable features of online content, such as linguistic markers or community membership. As a result, the predictive task often shifts from identifying individuals at risk to classifying posts that contain suicidal or distress-related language, limiting the ability of current approaches to detect individuals who do not express such content explicitly online. These findings suggest that current advances in model performance should be interpreted with caution. Progress in this field is likely to depend less on improving model performance and more on ensuring that model predictions meaningfully correspond to suicide risk as it is experienced in real life.

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