Clinical Outcome Prediction

Overview

Clinical outcome prediction estimates what may happen to a patient, from short-term deterioration and readmission to disease progression, treatment response, and survival. Common approaches include tree-based models and survival analysis, temporal transformers and recurrent networks, multimodal fusion of EHRs with imaging or omics, and newer foundation models, federated learning, and causal or digital-twin methods. Evaluation spans settings such as ICU records from MIMIC and eICU, longitudinal Alzheimer’s cohorts such as ADNI, and multi-site cancer and imaging benchmarks, with attention to external validation, calibration, and subgroup performance. A central tension is that complex models can improve prediction, yet missing data, site shifts, label leakage, and weak uncertainty or fairness assessment often limit whether results generalize and support clinical decisions.

Latest papers

CardsList

265 papers24 papers in the last four weeks, down 8% on the four weeks before. 0.1% of all new papers.

  1. When uncertainty quantification fails: structural vulnerabilities and corrections for selective prediction under clinical class imbalance

    Oct 27, 2026Walter Endrizzi, Flavio Ragni, Raffaele Marchesi +4Selective PredictionClass-Imbalanced Learning

  2. MedJev: Evaluating Zero-Shot System-One Decision Making in Medicine

    Oct 26, 2026Simon A. Lee, Jiahang Sha, Moonseong Jeong +2Clinical Language Model EvaluationZero-Shot Learning

  3. DIGOM: Disentangled Interaction Graphs for Outcome prediction in Multimodal healthcare

    Oct 23, 2026Hakima Laribi, Olivier Lefebvre, Dan Poenaru +1Clinical Outcome PredictionMultimodal Graph Learning

  4. LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents

    Oct 19, 2026Xiaoyuan Bao, Jingsi Jiang, Jiao Shan +4Data LeakageAI Agent Auditing

  5. CoRe-WM: Conditioned Response-State World Modeling for Longitudinal Treatment-Response Prediction in Breast DCE-MRI

    Oct 18, 2026Lin Zhao, Bowen Chen, Qiaohui Gao +4Cancer Drug Response PredictionClinical Outcome Prediction

  6. Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction

    Oct 15, 2026Pengfei Hu, Chenwei Wu, Qiao Jin +4Clinical Outcome PredictionClinical Risk Prediction

  7. Predicting Live Birth After Fresh Embryo Transfer in IVF/ICSI: Differential ICM/Trophectoderm Morphology Encoding and a Hybrid Attention--Logistic Regression Ensemble

    Oct 15, 2026Abdul Raheem Shahzad, Jinxin Chen, Ming Zhang +1Clinical Outcome PredictionTabular Prediction

  8. Graph-Enhanced Disease Trajectory Discovery and Temporal Endpoint Forecasting from Longitudinal Electronic Health Records

    Oct 14, 2026Jin-Jia Zheng, Vincent S. TsengDisease Progression ModelingLongitudinal EHR Modeling

  9. Beyond the Encoder: Object-Centric Representations Emerging from Segmentation Foundation Models

    Oct 13, 2026Michalis Pistos, Bartłomiej W. PapieżCancer Subtype ClassificationObject-Centric Representation Learning

  10. Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations

    Oct 12, 2026Rodrigo Tertulino, Ricardo Almeida, Laércio AlencarFederated LearningFederated Learning Aggregation

  11. Sequence Composition in EHR Foundation Model Pretraining

    Oct 12, 2026Joshua Placidi, Inigo Stibbe, Alfred J. Balston +2EHR Foundation ModelsElectronic Health Records

  12. Deep Neural Mixed Models for Nonlinear Longitudinal Prediction with Subject-Specific Heterogeneity

    Oct 11, 2026Mahmud Hasan, Niloofar Ramezani, Hrishikesh ChakrabortyMixed-Effects ModelsClinical Outcome Prediction

  13. Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity

    Oct 10, 2026Hsiang-Chen Yeh, Aurosweta Mahapatra, Shreeram Suresh Chandra +2Speech ProsodyClinical Speech Processing

  14. Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis

    Oct 9, 2026Hamza Shafiq, Jialu Tang, Ting Dang +2Clinical Outcome PredictionMultimodal Fusion

  15. 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

  16. GeneICL: A Tabular Foundation Model for Bulk Transcriptomics

    Oct 6, 2026Michael Bohl, Alexander Theus, David Wissel +1Tabular Foundation ModelsClinical Outcome Prediction

  17. No Transformer Beats Six Covariates: Long-Horizon Prediction of Depressive Symptoms from Childhood Essays

    Oct 6, 2026Daniel Kua, Emrul Hasan, John-Jose Nunez +1TransformerDepression Detection

  18. Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies

    Oct 2, 2026Jungkyu Park, Dhruva Biswas, Joseph Cappadona +22Clinical Outcome PredictionComputational Pathology

  19. RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction

    Oct 2, 2026Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Chen Chen +2Medication RecommendationText Summarization

  20. Understanding Trajectory Heterogeneity in Federated World Model Learning

    Oct 2, 2026Yipan Wei, Zhaokun Yan, Ziming Hong +2World Model LearningHeterogeneous Federated Learning

  21. GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events

    Oct 1, 2026Chaiho Shin, Kwangsoo KimEvidence-Grounded ReasoningClinical Outcome Prediction

  22. Fixing a Model That Learned Worse Cancer Means Lower Risk: Monotonic Constraints in Bladder Cancer Recurrence Prediction

    Oct 1, 2026Saram Abbas, David Thomas, Naeem Soomro +3Counterfactual EvaluationGradient-Boosted Decision Trees

  23. From Image Interpretation to Clinical Reasoning: Upstream Physician-Context-Aware Multimodal Learning with Causal Reinforcement Learning

    Sep 30, 2026Jialu Pi, Yanan Ma, Weijie Chen +8Clinical Outcome PredictionMultimodal Reasoning

  24. 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

  25. Deep learning of longitudinal visual fields predicts glaucoma progression rate and identifies fast progressors

    Sep 24, 2026Taiabur Rahman, Siddiqur Rahman, Muhammad Moniruzzaman +7Clinical Outcome PredictionAleatoric Uncertainty

  26. Predicting the Progression of Adolescent Idiopathic Scoliosis

    Sep 23, 2026Owen Pullen, Amir Jamaludin, Andrew ZissermanClinical Outcome Prediction

  27. Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

    Sep 23, 2026Wenjie Feng, Sahba Zojaji, Satoshi NakamuraClinical Outcome PredictionDepression Severity Estimation