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. TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics

    Mar 14, 2026Zhihao Chen, Jiahui Wang, Yizhou Chen +8Clinical Outcome PredictionLLM Agents

  2. A Discordance-Aware Multimodal Framework with Multi-Agent Clinical Reasoning

    Mar 12, 2026Pegah Ahadian, Mingrui Yang, Sixu Chen +2Clinical Outcome PredictionMedical Diagnosis

  3. Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes

    Mar 12, 2026Muhammad Faisal Shahid, Asad Afzal, Abdullah Faiz +5Clinical Outcome PredictionCancer Survival Prediction

  4. EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records

    Mar 9, 2026Payal Chandak, Gregory Kondas, Liat Antwarg Friedman +2EHR Foundation ModelsClinical Outcome Prediction

  5. A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs

    Mar 6, 2026Yue Chang, Guangsen Lin, Jyun Jie Chuang +3Sepsis PredictionClinical Prediction

  6. Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

    Mar 4, 2026Yuewen Huang, Zhitao Ye, Guangnan Feng +3Clinical Outcome PredictionComputational Pathology

  7. PreSight: Preoperative Outcome Prediction for Parkinson's Disease via Region-Prior Morphometry and Patient-Specific Weighting

    Mar 2, 2026Yand Wang, Chen Zhang, Lanyun Zhu +6Clinical Outcome PredictionClinical Decision-Making

  8. Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder

    Feb 28, 2026Adam Marcus, Paul Bentley, Daniel RueckertDiffusion AutoencoderClinical Outcome Prediction

  9. Machine Learning Based Prediction of Surgical Outcomes in Chronic Rhinosinusitis from Clinical Data

    Feb 19, 2026Sayeed Shafayet Chowdhury, Karen D'Souza, V. Siva Kakumani +9Clinical Outcome PredictionClinical Decision Support

  10. A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data

    Feb 19, 2026Justyna Andrys-Olek, Paulina Tworek, Luca Gherardini +4Interpretable MLLearning with Missing Data

  11. CAMEL: An ECG Language Model for Forecasting Cardiac Events

    Feb 17, 2026Neelay Velingker, Alaia Solko-Breslin, Mayank Keoliya +9Electrocardiogram Foundation ModelsElectrocardiogram Interpretation

  12. Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization

    Feb 17, 2026Farzana Akter, Rakib Hossain, Deb Kanna Roy Toushi +3Uplift ModelingPrivacy-Preserving ML

  13. Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset

    Feb 16, 2026Luke Antoncich, Yuben Moodley, Ugo Varetto +5Quantum Reservoir ComputingClinical Outcome Prediction

  14. Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis

    Jan 6, 2026Choonghan Kim, Hyunmin Hwang, Hangeol Chang +4Clinical Outcome PredictionAlzheimer's Disease Progression Prediction

  15. Stochastic Siamese MAE Pretraining for Longitudinal Medical Images

    Dec 29, 2025Taha Emre, Arunava Chakravarty, Thomas Pinetz +9Masked AutoencodersSelf-Supervised Pre-Training

  16. Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach

    Dec 9, 2025Phevos Paschalidis, Vasiliki Stoumpou, Lisa Everest +11Clinical Decision SupportClinical Outcome Prediction

  17. Chronic Kidney Disease Prognosis Prediction Using Transformer

    Nov 4, 2025Yohan Lee, Dong Gyun Kang, SeHoon Park +2Clinical Outcome PredictionLongitudinal EHR Modeling

  18. MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series

    Sep 23, 2025Dohyun Ku, Catherine D. Chong, Visar Berisha +2Time Series ImputationTime Series Classification

  19. Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction

    Jun 18, 2025Vincent Roca, Marc Tommasi, Paul Andrey +8Brain Age PredictionClinical Outcome Prediction

  20. Explainability in mulimodal deep transformation models for stroke outcome prediction

    Apr 7, 2025Lisa Herzog, Jonas Brändli, Maurice Schneeberger +7Clinical Outcome PredictionExplainable Medical Image Analysis

  21. Explainable Graph-theoretical Machine Learning with Application to Alzheimer's Disease Prediction

    Mar 20, 2025Narmina Baghirova, Duy-Thanh Vũ, Duy-Cat Can +6Clinical Outcome PredictionNeuroimaging

  22. Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

    Mar 4, 2025Yepeng Huang, Xiaorui Su, Varun Ullanat +10Clinical Outcome PredictionMultimodal Learning

  23. Hierarchical Sparse Bayesian Multitask Learning for Disease Prediction in Pooled Microbiome Studies

    Feb 4, 2025Haonan Zhu, Andre R. Goncalves, Camilo Valdes +10Clinical Outcome PredictionMulti-Task Learning