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References from Translation readiness of model-based synthetic tabular data in healthcare: a systematic review and governance audit. Local targets link to admitted publications; unresolved targets remain external evidence.
High-performance medicine: the convergence of human and artificial intelligence
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Privacy in the age of medical big data
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Synthetic data generation methods in healthcare: a review on open-source tools and methods
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Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
10.1038/s41746-020-00353-9 · 2020 · External reference
Synthetic data in biomedicine via generative artificial intelligence
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Membership inference attacks against synthetic health data
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2022 · External reference
Unresolved reference
2025 · External reference
A scoping review of privacy and utility metrics in medical synthetic data
10.1038/s41746-024-01359-3 · 2025 · External reference
Generative adversarial networks in cardiology
10.1016/j.cjca.2021.11.003 · 2022 · External reference
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
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Using artificial intelligence for systematic review: the example of elicit
10.1186/s12874-025-02528-y · 2025 · External reference
Unresolved reference
2025 · External reference
Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging
10.1007/s11604-024-01705-1 · 2025 · External reference
Synthetic data for privacy-preserving clinical risk prediction
10.1038/s41598-024-72894-y · 2024 · External reference
Synthetic data in medicine: Legal and ethical considerations for patient profiling
10.1016/j.csbj.2025.05.026 · 2025 · External reference
Synthetic data in medical imaging within the EHDS: a path forward for ethics, regulation, and standards
10.3389/fdgth.2025.1620270 · 2025 · External reference
Three approaches to qualitative content analysis
10.1177/1049732305276687 · 2005 · External reference
Beyond imbalance: advancing breast cancer diagnosis with synthetic data and ML modeling
10.1007/s13721-025-00512-6 · 2025 · External reference
Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features
10.1016/j.compbiomed.2024.108389 · 2024 · External reference
Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets
10.1371/journal.pone.0326221 · 2025 · External reference
AI-driven synthetic data generation for accelerating hepatology research: A study of the United Network for Organ Sharing (UNOS) database
10.1097/hep.0000000000001299 · 2026 · External reference
Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data
10.1007/s11517-025-03289-y · 2025 · External reference
Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset
10.1371/journal.pone.0283094 · 2023 · External reference
Can synthetic data be a proxy for real clinical trial data? A validation study
10.1136/bmjopen-2020-043497 · 2021 · External reference
Generating synthetic data for machine learning models from the pediatric heart network fontan I dataset
10.32604/chd.2025.063991 · 2025 · External reference
A framework to create, evaluate and select synthetic datasets for survival prediction in oncology
10.1016/j.compbiomed.2025.110198 · 2025 · External reference
Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology
10.1200/cci.23.00021 · 2023 · External reference
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
10.1038/s41746-024-01076-x · 2024 · External reference
Machine learning for comprehensive forecasting of Alzheimer’s Disease progression
10.1038/s41598-019-49656-2 · 2019 · External reference
The national COVID cohort collaborative: analyses of original and computationally derived electronic health record data
10.2196/30697 · 2021 · External reference
Novel generative recurrent neural network framework to produce accurate, applicable, and deidentified synthetic medical data for patients with metastatic cancer
10.1200/cci.22.00125 · 2023 · External reference
Multicenter validation of an artificial intelligence (AI)-based platform for the diagnosis of acute appendicitis
10.1016/j.surg.2024.05.007 · 2024 · External reference
Leveraging artificial intelligence and synthetic data derivatives for spine surgery research
10.1177/21925682221085535 · 2023 · External reference
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
10.1038/s41746-023-00771-5 · 2023 · External reference
Synthetic boosted resampling using deep generative adversarial networks: A novel approach to improve cancer prediction from imbalanced datasets
10.3390/cancers16234046 · 2024 · External reference
Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation
10.1016/j.compbiomed.2022.106077 · 2022 · External reference
DALL-M: Context-aware clinical data augmentation with large language models
10.1016/j.compbiomed.2025.110022 · 2025 · External reference
Unleashing the power of very small data to predict acute exacerbations of chronic obstructive pulmonary disease
10.2147/copd.s412692 · 2023 · External reference
Synthetic data improve survival status prediction models in early-onset colorectal cancer
10.1200/cci.23.00201 · 2024 · External reference
Unresolved reference
2023 · External reference
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV
10.1016/j.jbi.2023.104436 · 2023 · External reference
Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME
10.1038/s41598-023-31542-7 · 2023 · External reference
A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing
10.1186/s12911-025-03094-5 · 2025 · External reference
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare
10.1016/j.compbiomed.2023.107295 · 2023 · External reference
A stacked ensemble approach for symptom-based monkeypox diagnosis
10.1016/j.compbiomed.2025.110140 · 2025 · External reference
Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach
10.1186/s12911-024-02779-7 · 2024 · External reference
Prediction of cerebrospinal fluid (CSF) pressure with generative adversarial network synthetic plasma-CSF biomarker pairing
10.1007/s12021-025-09729-2 · 2025 · External reference
phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data
10.1093/bioinformatics/btae161 · 2024 · External reference
Bayesian network modeling of risk and prodromal markers of Parkinson’s disease
10.1371/journal.pone.0280609 · 2023 · External reference
Improving medical machine learning models with generative balancing for equity and excellence
10.1038/s41746-025-01438-z · 2025 · External reference
Variational autoencoders for generative modeling of drug dosing determinants in renal, hepatic, metabolic, and cardiac disease states
10.1111/cts.13872 · 2024 · External reference
Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification
10.1186/s12911-025-03014-7 · 2025 · External reference
Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learning
10.1093/ndt/gfac316 · 2023 · External reference
Synthesizing feature-aligned and category-aware electronic medical records for intracranial aneurysm rupture prediction
10.1109/jbhi.2024.3448459 · 2024 · External reference
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2012 · External reference
Real-world evidence for regulatory decision-making: updated guidance from around the world
10.3389/fmed.2023.1236462 · 2023 · External reference
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
10.1002/psp4.12669 · 2021 · External reference
Toward trustworthy medical device in silico clinical trials: a hierarchical framework for establishing credibility and strategies for overcoming key challenges
10.3389/fmed.2024.1433372 · 2024 · External reference
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2023 · External reference
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2013 · External reference
United States Food and Drug Administration regulation of clinical software in the era of artificial intelligence and machine learning
10.1016/j.mcpdig.2025.100231 · 2025 · External reference
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2017 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approaches
10.1016/j.iot.2023.101048 · 2024 · External reference
Human-in-the-loop machine learning: a state of the art
10.1007/s10462-022-10246-w · 2023 · External reference
Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation
10.1093/jamia/ocaf030 · 2025 · External reference
