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

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

  1. A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

    May 5, 2026Ryan King, Conrad Krueger, Ethan Veselka +2Clinical Outcome PredictionDomain-Incremental Learning

  2. A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain

    May 5, 2026Xiru Wang, Aiden Li, Hongzhao Tan +3Clinical Outcome Prediction

  3. Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data

    May 5, 2026He Lyu, Huolin Zeng, Junren Wang +7Disentangled Representation LearningRepresentation Learning

  4. Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

    May 4, 2026Ran Tong, Tong Wang, Lanruo Wang +1Residual LearningAlzheimer's Disease

  5. GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models

    May 3, 2026Favour Nerrise, Lucy Yin, Mohammad H. Abbasi +2Alzheimer's DiseaseMedical Imaging Foundation Models

  6. ReMedi: Reasoner for Medical Clinical Prediction

    May 2, 2026Yushi Cao, Yiming Chen, Hongchao Jiang +2Fine-TuningClinical Outcome Prediction

  7. NEURON: A Neuro-symbolic System for Grounded Clinical Explainability

    May 2, 2026Anuradha Chandrasekaran, Dimitrios Zikos, Mutlu Mete +3Explainable Artificial IntelligenceClinical Outcome Prediction

  8. Disease Is a Spectral Perturbation

    May 1, 2026John D. Mayfield, Matthew S. RosenClinical Outcome PredictionSpectral Methods

  9. Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

    May 1, 2026Ramin Mohammadi, Vahab vahdat, Sarthak Jain +3Clinical Outcome PredictionClinical Prediction

  10. Deep Kernel Learning for Stratifying Glaucoma Trajectories

    May 1, 2026Bruce Rushing, Angela Danquah, Alireza Namazi +2Deep Kernel LearningClinical Outcome Prediction

  11. Linking spatial biology and clinical histology via Haiku

    Apr 30, 2026Yan Cui, Jacob S. Leiby, Wenhui Lei +6Computational PathologyHealthcare

  12. 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 DiseaseSurvival Analysis

  13. Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

    Apr 30, 2026Yuxi Ma, Jieming Cui, Muyang Li +6Document UnderstandingDepression Detection

  14. Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework

    Apr 29, 2026Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang +1Alzheimer's DiseaseClinical Outcome Prediction

  15. Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

    Apr 29, 2026Brad Ye, Bulent Soykan, Gulsah Hancerliogullari Koksalmis +2Tabular Foundation ModelsAlzheimer's Disease

  16. Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time

    Apr 28, 2026Jennifer Wendland, Nicolas Freitag, Maik KschischoCausal Effect EstimationClinical Outcome Prediction

  17. Radiomics- and Clinical Feature-Driven Prediction of Volumetric Response in Skull-Base Meningioma after CyberKnife Radiosurgery

    Apr 27, 2026Yin Lin, Elena De Martin, Giacomo Conte +6Clinical Outcome PredictionRadiomics

  18. An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness

    Apr 27, 2026Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque +1Algorithmic FairnessClinical Outcome Prediction

  19. Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study

    Apr 25, 2026Dan Liu, Fida K. Dankar, Jennifer C. deBruyn +4Causal Effect EstimationClinical Outcome Prediction

  20. DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining

    Apr 24, 2026Youze Zheng, Jianyou Wang, Yuhan Chen +8LLM Fine-TuningCounterfactual Reasoning in Language Models

  21. RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis

    Apr 24, 2026Daqian Shi, Pei Han, Jishizhan Chen +4Retrieval-Augmented GenerationClinical Outcome Prediction

  22. An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV

    Apr 24, 2026Isaac Tosin AdisaHealthcareAlgorithmic Fairness

  23. CognitiveTwin: Robust Multi-Modal Digital Twins for Predicting Cognitive Decline in Alzheimer's Disease

    Apr 24, 2026Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang +1Alzheimer's DiseaseMultimodal Robustness

  24. A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency

    Apr 24, 2026Nanae Aratake, Taisei Tosaki, Yuji Okamoto +5Self-Supervised Pre-TrainingClinical Outcome Prediction

  25. A multimodal and temporal foundation model for virtual patient representations at healthcare system scale

    Apr 20, 2026Andrew Zhang, Tong Ding, Sophia J. Wagner +8Multimodal IRRepresentation Learning

  26. Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning

    Apr 20, 2026Xixi Liu, Jorge Lazo, Andreas Hallqvist +8Clinical Outcome PredictionMedical VLMs

  27. CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction

    Apr 17, 2026Jianyou Wang, Youze Zheng, Longtian Bao +11HealthcareForecasting Benchmarks

  28. Graph Transformer-Based Pathway Embedding for Cancer Prognosis

    Apr 17, 2026Koushik Howlader, Md Tauhidul Islam, Wei LeCancer GenomicsCancer Survival Prediction