Overview

Clinical prediction studies use patient data to forecast events such as sepsis, readmission, disease progression, treatment response, and changes in severity. Common approaches range from logistic regression and gradient-boosted trees to temporal neural networks, multimodal models, and language models that work with electronic health records; evaluations often use datasets such as MIMIC, eICU, and EHRSHOT. Researchers also develop methods for interpretable predictions, uncertainty estimation, privacy-preserving collaboration, and adapting models to new hospitals or populations. A central challenge is that strong results on internal benchmarks may not transfer across sites or patient groups, so external validation, calibration, leakage control, and evidence of clinical usefulness remain important.

Latest papers

CardsList

213 papers18 papers in the last four weeks, down 38% on the four weeks before. 0.1% of all new papers.

  1. Multimodal Prompt Learning with Dual-Granularity Contrastive Alignment for Preoperative Prediction of Lung Adenocarcinoma Invasiveness Using 3D CT

    Nov 2, 2026Qing Huang, Xiaotong Tan, Lintong Yao +6Medical Image ClassificationClinical Prediction

  2. Where Is a Prediction Model Miscalibrated, and for Whom? Local Audits in Outcome-Learned Pockets

    Nov 2, 2026Bernardo Modenesi, Taoyi Chen, Sima Najafzadehkhoei +3Model CalibrationBlack-Box Model Auditing

  3. Fuzzy-Enhanced Machine Learning Approach for Type 2 Diabetes Diagnosis

    Nov 1, 2026Azam Saffar, Mohsen SaffarClinical PredictionFeature Selection

  4. Leakage-Controlled Structure-Preserving Augmentation and Template-Aware Evaluation for Bangla Symptom-Based Disease Prediction

    Oct 30, 2026Sabah Nushra, Shovan Samanta Turzo, Moinul Hossain +1Clinical PredictionData Augmentation

  5. Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics

    Oct 28, 2026Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein ArzaniComputed TomographyActive Feature Acquisition

  6. Regional prediction of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

    Oct 26, 2026Natasha Ironside, Hongyu Kan, Kristofor Pas +17Clinical PredictionRadiomics

  7. ECG for laboratory values:A comprehensive physiological and technical analysis

    Oct 20, 2026Walentin PalanchukClinical PredictionElectrocardiography

  8. DeliMF: Gated Cross-Attention Fusion of Structured Time Series and Clinical Text for Early Intensive Care Delirium Prediction

    Oct 17, 2026Yibo Yang, Zerui Huang, Haomiao Yang +1Clinical PredictionClinical Risk Prediction

  9. Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection

    Oct 13, 2026Olivier Lefebvre, Hakima Laribi, Dan Poenaru +1Distribution Shift DetectionClinical Prediction

  10. SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

    Oct 13, 2026Ivana Janíčková, Yen Y. Tan, Thomas H. Helbich +6Clinical PredictionMultimodal Disentangled Representation Learning

  11. PatientWM: Towards Generalizable Clinical World Models via Unified Patient States

    Oct 12, 2026Ziwen Kan, Jie Peng, Bo Yan +5Action-Conditioned World ModelsClinical Prediction

  12. Siam-ALS: An Explainable Siamese Deep Learning Framework for Early ALS Detection Using EEG and Eye-Tracking Signals

    Oct 11, 2026Abdur Rahman, A. A. M. Muzahid, Istiak Ahmed +4Clinical PredictionMultimodal Classification

  13. Machine Learning-Based Prediction of Dengue Infection Using Clinical and Hematological Data from Bangladesh: A Comparative Analysis of Benchmark and Extended Prediction Models

    Oct 10, 2026Neesha Naimeen, Victor Miranda SoberanisMedical DiagnosisClinical Prediction

  14. Clinical value claims in multimodal AI outpace supporting evidence

    Oct 9, 2026Jiayu FengMultimodal Model EvaluationClinical Prediction

  15. Shared Canonical Component Removal Beyond Expert Views

    Oct 9, 2026Jose Roberto Tello Ayala, Akl C. Fahed, Roy Perlis +1Algorithmic AuditingConcept Erasure

  16. MC-TRCM: Observation-Aware Recursive Fusion for Incomplete Mobile and Wearable Mental-Health Feature Views

    Oct 8, 2026Wentao Wang, Lifeng Han, Zining Ren +2Clinical Outcome PredictionClinical Prediction

  17. Coverage-Aware Reasoning with Medical Tokens for Diagnosis Prediction

    Oct 7, 2026Kaisong Zhang, Haotian Fang, Junmeng Zhou +3Medical LLMsClinical Prediction

  18. SepsisLens: Structure-Preserving Sequence Modelling for Decomposable Early Sepsis Warning

    Oct 6, 2026Yikun Ou, Wei LiSepsis PredictionInterpretable ML

  19. Agentic discovery of blood biomarker from distilled private health records

    Oct 3, 2026Seffi Cohen, Liat Antwarg Friedman, Amir Anisman +7AI Agents for Scientific DiscoveryClinical Prediction

  20. Cross-cohort TB classification using clinical data gathered in Uganda and South Africa

    Oct 2, 2026Joshua M. Jansen van Vüren, Devendra S. Parihar, Daphne Naidoo +8Medical DiagnosisClinical Prediction

  21. Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection

    Sep 29, 2026Mohamed Hazem, Tarek Waleed, Omar Khaled +8Computational PathologyMedical Diagnosis

  22. ReLMem: Learning Recurrent Memory for Longitudinal EHR Modeling

    Sep 29, 2026Zijie Meng, Xiwei Dai, Yingying Zhang +3Memory-Augmented Language ModelsClinical Prediction

  23. Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT

    Sep 29, 2026Linkai Peng, Cuiling Sun, Bin Wang +10Clinical Prediction

  24. Learning Continuous Patient Trajectories from Electronic Health Records

    Sep 28, 2026Silas Ruhrberg Estévez, Kara Liu, Christopher Chiu +4Longitudinal EHR ModelingFlow-Based Generative Modeling

  25. Temporal Graph Learning of Wearable Actigraphy and Sleep Traces for Modelling Adolescent Crystallized Intelligence

    Sep 27, 2026Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1Temporal GNNsClinical Prediction

  26. MTLiquid: Enabling Efficient Multi-Task Learning using Liquid Neural Networks for Lightweight Healthcare Monitoring Systems

    Sep 27, 2026Rachmad Vidya Wicaksana Putra, Fahad Abdul Rauf, Muhammad ShafiqueSepsis PredictionMulti-Task Learning