mlsanityData to 14 Oct 2026

Deep Learning for Survival Analysis: A Review

arXiv 2305.14961 ↗First posted 24 May 2023stat.ML cs.LGcited by 75

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Abstract (arXiv)

The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for instance, learning from unstructured or high-dimensional data such as images, text or omics data. In this work, we conduct a comprehensive systematic review of DL-based methods for time-to-event analysis, characterizing them according to both survival- and DL-related attributes. In summary, the reviewed methods often address only a small subset of tasks relevant to time-to-event data - e.g., single-risk right-censored data - and neglect to incorporate more complex settings. Our findings are summarized in an editable, open-source, interactive table: https://survival-org.github.io/DL4Survival. As this research area is advancing rapidly, we encourage community contribution in order to keep this database up to date.

Key facts. Cited by 75 papers in the map (data through 14 Oct 2026). Builds on 52 of its 183 references that are in the map. First posted on arXiv 24 May 2023.

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52 of 183 references.

References · 52

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  4. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  5. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  6. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  7. 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,070
  8. 2018Neural Ordinary Differential Equationscited by 3,779
  9. 2015Variational Inference with Normalizing Flowscited by 2,170
  10. 2017Learning Important Features Through Propagating Activation Differencescited by 1,458
  11. 2019CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparisoncited by 1,423
  12. 2017An Overview of Multi-Task Learning in Deep Neural Networkscited by 803
38 more
  1. 2017Dynamic Routing Between Capsulescited by 689
  2. 2016DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Networkcited by 358
  3. 2020Neural Additive Models: Interpretable Machine Learning with Neural Netscited by 319
  4. 2019Time-to-Event Prediction with Neural Networks and Cox Regressioncited by 175
  5. 2017Machine Learning for Survival Analysis: A Surveycited by 112
  6. 2018Learn To Pay Attentioncited by 83
  7. 2018A Scalable Discrete-Time Survival Model for Neural Networkscited by 72
  8. 2019Continuous and Discrete-Time Survival Prediction with Neural Networkscited by 70
  9. 2020Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Riskscited by 70
  10. 2018Effective Ways to Build and Evaluate Individual Survival Distributionscited by 64
  11. 2016Deep Survival Analysiscited by 61
  12. 2018Deep Recurrent Survival Analysiscited by 61
  13. 2018Deep Neural Networks for Survival Analysis Based on a Multi-Task Frameworkcited by 45
  14. 2021Deep Cox Mixtures for Survival Regressioncited by 44
  15. 2021Survival Regression with Proper Scoring Rules and Monotonic Neural Networkscited by 42
  16. 2021SurvTRACE: Transformers for Survival Analysis with Competing Eventscited by 41
  17. 2020SurvLIME: A method for explaining machine learning survival modelscited by 34
  18. 2018Adversarial Time-to-Event Modelingcited by 33
  19. 2018Countdown Regression: Sharp and Calibrated Survival Predictionscited by 31
  20. 2020Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalitiescited by 24
  21. 2022SurvSHAP(t): Time-dependent explanations of machine learning survival modelscited by 24
  22. 2022auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Datacited by 17
  23. 2021SurvNAM: The machine learning survival model explanationcited by 16
  24. 2019DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Valuescited by 15
  25. 2021Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their resultscited by 15
  26. 2020Large-scale benchmark study of survival prediction methods using multi-omics datacited by 14
  27. 2020Semi-Structured Deep Piecewise Exponential Modelscited by 13
  28. 2022Counterfactual Phenotyping with Censored Time-to-Eventscited by 13
  29. 2018A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancercited by 12
  30. 2019A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Datacited by 12
  31. 2020A General Machine Learning Framework for Survival Analysiscited by 12
  32. 2022DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysiscited by 12
  33. 2018Image-based Survival Analysis for Lung Cancer Patients using CNNscited by 11
  34. 2020Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysiscited by 11
  35. 2020How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoringcited by 11
  36. 2019CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imagingcited by 7
  37. 2021Avoiding C-hacking when evaluating survival distribution predictions with discrimination measurescited by 7
  38. 2021Individual Survival Curves with Conditional Normalizing Flowscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 13; 2025: 33; 2026: 24.

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  1. 2024CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysiscited by 22
  2. 2024An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomescited by 16
  3. 2025Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Datacited by 10
  4. 2023DySurv: dynamic deep learning model for survival analysis with conditional variational inferencecited by 9
  5. 2026Tabular Foundation Models Can Do Survival Analysiscited by 9
  6. 2026Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networkscited by 6
  7. 2024A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Datacited by 5
  8. 2025NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantificationcited by 5
  9. 2024Interpretable Machine Learning for Survival Analysiscited by 4
  10. 2023SurvBeX: An explanation method of the machine learning survival models based on the Beran estimatorcited by 3
  11. 2024Generating Survival Interpretable Trajectories and Datacited by 3
  12. 2025Gradient-based Explanations for Deep Learning Survival Modelscited by 3
38 more
  1. 2025CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysiscited by 3
  2. 2024Interpretable Prediction and Feature Selection for Survival Analysiscited by 2
  3. 2025SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysiscited by 2
  4. 2025Survival Analysis as Imprecise Classification with Trainable Kernelscited by 2
  5. 2025ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival Analysiscited by 2
  6. 2025PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Modelscited by 2
  7. 2025SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysiscited by 2
  8. 2025Understanding Overparametrization in Survival Models through Interpolationcited by 2
  9. 2026Time-driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancercited by 2
  10. 2024Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learningcited by 1
  11. 2024CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysiscited by 1
  12. 2024SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanismscited by 1
  13. 2025Censor Dependent Variational Inferencecited by 1
  14. 2025Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Studycited by 1
  15. 2025Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regressioncited by 1
  16. 2025FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Financecited by 1
  17. 2025Whole-body Representation Learning For Competing Preclinical Disease Risk Assessmentcited by 1
  18. 2025Dynamic Survival Prediction using Longitudinal Images based on Transformercited by 1
  19. 2025The C-index Multiversecited by 1
  20. 2025Automated and Interpretable Survival Analysis from Multimodal Datacited by 1
  21. 2025SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysiscited by 1
  22. 2025Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoringcited by 1
  23. 2026SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networkscited by 1
  24. 2026Capture Timing-Attention of Events in Clinical Time Seriescited by 1
  25. 2026Functional Decomposition and Shapley Interactions for Interpreting Survival Modelscited by 1
  26. 2026SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Datacited by 1
  27. 2023ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networkscited by 0
  28. 2023SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Modelscited by 0
  29. 2023Survival Analysis with Adversarial Regularizationcited by 0
  30. 2024On Training Survival Models with Scoring Rulescited by 0
  31. 2024Neural Network-Based Piecewise Survival Modelscited by 0
  32. 2024Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingcited by 0
  33. 2024Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasiscited by 0
  34. 2025Survival Concept-Based Learning Modelscited by 0
  35. 2025Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Datacited by 0
  36. 2025Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictionscited by 0
  37. 2025Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligencecited by 0
  38. 2025EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysiscited by 0

50 most cited of 75 All 75 (JSON)