Showing 634 publications by David Clifton
When Text and Numbers Disagree: Evidence Arbitration in Large Language Models
Carletti M, Phillips E, Gustafsson FK, Palo P, Clifton L et al. (2026)
BibTeX
@misc{whentextandnumb-2026/8,
title={When Text and Numbers Disagree: Evidence Arbitration in Large Language Models},
author={Carletti M, Phillips E, Gustafsson FK, Palo P, Clifton L et al.},
year = "2026"
}
Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects
Anibal J, Nama GKC, Ganesh S, Nafii Y, Cruz SS et al. (2026), Laryngoscope Investigative Otolaryngology, 11(4), e70519
BibTeX
@article{largelanguagemo-2026/8,
title={Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects},
author={Anibal J, Nama GKC, Ganesh S, Nafii Y, Cruz SS et al.},
journal={Laryngoscope Investigative Otolaryngology},
volume={11},
pages={e70519},
publisher={Wiley},
year = "2026"
}
ShadowNet for Data-Centric Quantum System Learning
Du Y, Yang Y, Liu T, Lin Z, Clifton DA et al. (2026), IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(99), 1-17
BibTeX
@article{shadownetfordat-2026/8,
title={ShadowNet for Data-Centric Quantum System Learning},
author={Du Y, Yang Y, Liu T, Lin Z, Clifton DA et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={PP},
pages={1-17},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2026"
}
An AI agent for treatment reasoning over a biomedical tool universe
Gao S, Noori A, Zhu R, Ginder C, Kong Z et al. (2026)
Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging
Simon BD, Akcicek E, Harmon SA, Clifton L, Thakur A et al. (2026), Diagnostic and Interventional Radiology
BibTeX
@article{developmentandv-2026/6,
title={Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging},
author={Simon BD, Akcicek E, Harmon SA, Clifton L, Thakur A et al.},
journal={Diagnostic and Interventional Radiology},
publisher={Galenos Yayinevi},
year = "2026"
}
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
Zhou H, Zou X, Wu J, Wu S, Yu J et al. (2026)
BibTeX
@misc{measuringepiste-2026/6,
title={Measuring Epistemic Resilience of LLMs Under Misleading Medical Context},
author={Zhou H, Zou X, Wu J, Wu S, Yu J et al.},
year = "2026"
}
Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence
Chen Y, Thakur A, Soltan AAS, Shen Y, Li D et al. (2026), Nature Communications
BibTeX
@article{mitigatingalgor-2026/5,
title={Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence},
author={Chen Y, Thakur A, Soltan AAS, Shen Y, Li D et al.},
journal={Nature Communications},
publisher={Springer Nature},
year = "2026"
}
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
Tang W, Han J, Cui K, Carletti M, Gustafsson FK et al. (2026)
Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation
Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton D et al. (2026)
OptimusKG: unifying biomedical knowledge in a modern multimodal graph
Vittor L, Noori A, Arango I, Polonuer J, Rodriques S et al. (2026)
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
Gustafsson FK, Boissin C, Vallon-Christersson J, Clifton DA & Rantalainen M (2026)
BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence
Wu S, Gustafsson FK, Phillips E, Gao B, Thakur A et al. (2026)
Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al. (2026)
Neuro-symbolic federated learning over heterogeneous data-views: a structured approach to distributive EHR modelling
Molaei S, Fatemi B, Thakur A, Soltan A, Rabbi F et al. (2026), Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, 40(29), 24422-24430
BibTeX
@inproceedings{neurosymbolicfe-2026/3,
title={Neuro-symbolic federated learning over heterogeneous data-views: a structured approach to distributive EHR modelling},
author={Molaei S, Fatemi B, Thakur A, Soltan A, Rabbi F et al.},
booktitle={40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)},
pages={24422-24430},
year = "2026"
}
Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.
Molaei S, Poon KC, Gao C, Eisenhardt KHS, Concilio M et al. (2026), Journal of the American Chemical Society
BibTeX
@article{graphbasedmachi-2026/3,
title={Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.},
author={Molaei S, Poon KC, Gao C, Eisenhardt KHS, Concilio M et al.},
journal={Journal of the American Chemical Society},
year = "2026"
}
Democratising clinical AI through dataset condensation for classical clinical models
Thakur A, Molaei S, Nganjimi PC, Fieggen J, Soltan AAS et al. (2026)
SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
Gustafsson FK, Gu X, Carletti M, Palo P, Eyre DW et al. (2026)
Entropy Alone is Insufficient for Safe Selective Prediction in LLMs
Phillips E, Gustafsson FK, Wu S, Thakur A & Clifton DA (2026)
Clinical-R1: empowering large language models for faithful and comprehensive reasoning with clinical objective relative policy optimization
Gu B, Zhou H, Segal BM, Wu J, Cao Z et al. (2026), Proceedings of The Second AAAI Bridge Program on AI for Medicine and Healthcare, 317, 117-126
BibTeX
@inproceedings{clinicalrempowe-2026/3,
title={Clinical-R1: empowering large language models for faithful and comprehensive reasoning with clinical objective relative policy optimization},
author={Gu B, Zhou H, Segal BM, Wu J, Cao Z et al.},
booktitle={2nd AAAI Bridge Program on AI for Medicine and Healthcare (AIMedHealth 2026)},
pages={117-126},
year = "2026"
}
Digital morphine: why AI scribes are symptomatic relief for a broken system
Segal B, Allen L, Fieggen J, Clifton D & Clifton L (2026), BMJ Digital Health & AI, 2(1)
BibTeX
@article{digitalmorphine-2026/3,
title={Digital morphine: why AI scribes are symptomatic relief for a broken system},
author={Segal B, Allen L, Fieggen J, Clifton D & Clifton L},
journal={BMJ Digital Health & AI},
volume={2},
number={e000030},
publisher={BMJ Publishing Group},
year = "2026"
}
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals
Gu X, Tang W, Han J, Sangha V, Liu F et al. (2026), Nature Machine Intelligence, 8(2), 220-233
BibTeX
@article{cardiachealthas-2026/2,
title={Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals},
author={Gu X, Tang W, Han J, Sangha V, Liu F et al.},
journal={Nature Machine Intelligence},
volume={8},
pages={220-233},
publisher={Nature Research},
year = "2026"
}
Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study
Thakur A, Meza-Torres B, Fan X, Byford R, Joy M et al. (2026), PLoS ONE, 21(2), e0336449
BibTeX
@article{predictionofcov-2026/2,
title={Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study},
author={Thakur A, Meza-Torres B, Fan X, Byford R, Joy M et al.},
journal={PLoS ONE},
volume={21},
number={e0336449},
pages={e0336449},
publisher={Public Library of Science},
year = "2026"
}
When to and when not to use machine learning in risk prediction models
Clifton L, Powell J, Clifton DA & Sheikh A (2026), The Lancet Digital Health, 8(2), 100954
Dataset supporting Graph-based machine learning identifies oxygenated block polymer replacements for conventional plastics and elastics
Molaei S, Poon K, Gao C, Eisenhardt K, Concilio M et al. (2026)
Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al. (2026), 15694-15709
BibTeX
@inproceedings{autonomousknowl-2026/1,
title={Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval},
author={Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al.},
booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={15694-15709},
year = "2026"
}
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
Phillips E, Wu S, Molaei S, Belgrave D, Thakur A et al. (2025)
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Noori A, Polonuer J, Meyer K, Budnik B, Morton S et al. (2025)
BibTeX
@misc{graphaigenerate-2025/12,
title={Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems},
author={Noori A, Polonuer J, Meyer K, Budnik B, Morton S et al.},
year = "2025"
}
Navigating severe class imbalance in population cohort data
Fieggen J, Segal B, Walker E, Thakur A, Butler C et al. (2025)
BibTeX
@inproceedings{navigatingsever-2025/12,
title={Navigating severe class imbalance in population cohort data},
author={Fieggen J, Segal B, Walker E, Thakur A, Butler C et al.},
booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)},
year = "2025"
}
Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation
Segal B, Fieggen J, Clifton D & Clifton L (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
BibTeX
@inproceedings{bridgingthegene-2025/12,
title={Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation},
author={Segal B, Fieggen J, Clifton D & Clifton L},
booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
year = "2025"
}
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Gu B, Zhou H, Segal BM, Wu J, Cao Z et al. (2025)
DrAgent: empowering Large Language Models as medical agents for multi-hop medical reasoning
Liu F, Li Z, Zhou H, Yin Q, Yang J et al. (2025), Findings of the Association for Computational Linguistics: EMNLP 2025, 15656-15668
BibTeX
@inproceedings{dragentempoweri-2025/11,
title={DrAgent: empowering Large Language Models as medical agents for multi-hop medical reasoning},
author={Liu F, Li Z, Zhou H, Yin Q, Yang J et al.},
booktitle={30th Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)},
pages={15656-15668},
year = "2025"
}
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research
Aslett LJM, Avramescu A, Bakewell N, Birds I, Bowler L et al. (2025), Data, 10(12), 195-195
BibTeX
@article{decovidauktwoce-2025/11,
title={DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research},
author={Aslett LJM, Avramescu A, Bakewell N, Birds I, Bowler L et al.},
journal={Data},
volume={10},
pages={195-195},
publisher={MDPI AG},
year = "2025"
}
Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank
Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al. (2025), npj Parkinson's Disease
BibTeX
@article{dailystepsareap-2025/11,
title={Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank},
author={Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al.},
journal={npj Parkinson's Disease},
publisher={Nature Research},
year = "2025"
}
Abstract 4362776: Multimodal and Serial Electrocardiogram and Chest X-ray Age Have Prognostic Significance as Biomarkers for Cardiovascular Health
Sangha V, Gu X, Khera R & Clifton D (2025), Circulation, 152(Suppl_3), a4362776-a4362776
Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation
Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA et al. (2025), iScience, 28(12), 113732
BibTeX
@article{benchmarkingtra-2025/10,
title={Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation},
author={Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA et al.},
journal={iScience},
volume={28},
pages={113732},
publisher={Cell Press},
year = "2025"
}
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)
Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2025)
BibTeX
@misc{correctiontowar-2025/10,
title={Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)},
author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
year = "2025"
}
Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal.
Fields KG, Milner GDM, Ma J, Dhiman P, Redfern OC et al. (2025), Anesthesiology
BibTeX
@article{multivariablepr-2025/10,
title={Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal.},
author={Fields KG, Milner GDM, Ma J, Dhiman P, Redfern OC et al.},
journal={Anesthesiology},
publisher={Wolters Kluwer},
year = "2025"
}
Aggregation on Learnable Manifolds for Asynchronous Federated Optimization
Licudi A, Thakur A, Molaei S, Belgrave D & Clifton D (2025)
Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers
Acquah A, Hamy V, Clifton D & Doherty A (2025), Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 50-54
BibTeX
@inproceedings{characterisingp-2025/10,
title={Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers},
author={Acquah A, Hamy V, Clifton D & Doherty A},
booktitle={UbiComp '25:The 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing / ISWC ACM International Symposium on Wearable Computers},
pages={50-54},
year = "2025"
}
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton DA et al. (2025)
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity
Molaei S, Thakur A, Clifton L, Soltan A, Schwab P et al. (2025), IEEE Journal of Biomedical and Health Informatics, PP(99), 1-10
BibTeX
@article{learningacrosst-2025/9,
title={Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity},
author={Molaei S, Thakur A, Clifton L, Soltan A, Schwab P et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={PP},
pages={1-10},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
A collaborative large language model for drug analysis
Zhou H, Liu F, Wu J, Zhang W, Huang G et al. (2025), Nature Biomedical Engineering, 1-12
Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study.
Bedford JP, Redfern O, Gerry S, Hatch R, Keating L et al. (2025), The Lancet. Digital health, 100896
BibTeX
@article{developmentande-2025/9,
title={Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study.},
author={Bedford JP, Redfern O, Gerry S, Hatch R, Keating L et al.},
journal={The Lancet. Digital health},
number={100896},
pages={100896},
publisher={Elsevier BV},
year = "2025"
}
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
Simon BD, Harmon SA, Merriman KM, Tetreault J, Esengur OT et al. (2025), Clinical Imaging, 126
BibTeX
@article{amultimodalauto-2025/8,
title={A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates},
author={Simon BD, Harmon SA, Merriman KM, Tetreault J, Esengur OT et al.},
journal={Clinical Imaging},
volume={126},
number={110579},
publisher={Elsevier},
year = "2025"
}
Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model
Xiang T, Jin Y, Liu Z, Clifton L, Clifton DA et al. (2025), IEEE Journal of Biomedical and Health Informatics, 29(8), 5438-5451
BibTeX
@article{dynamicbeattobe-2025/8,
title={Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model},
author={Xiang T, Jin Y, Liu Z, Clifton L, Clifton DA et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={29},
pages={5438-5451},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
Beyond correlations: the necessity and the challenges of causal AI
Chauhan VK, Dhami DS, Gao B, Wang X, Clifton L et al. (2025)
Individualised treatment effects estimation with composite treatments and composite outcomes
Kumar Chauhan V, Clifton L, Nigam G & Clifton DA (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1-7
BibTeX
@inproceedings{individualisedt-2025/7,
title={Individualised treatment effects estimation with composite treatments and composite outcomes},
author={Kumar Chauhan V, Clifton L, Nigam G & Clifton DA},
booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)},
pages={1-7},
year = "2025"
}
A context-aware methodology for fault detection and severity classification under variable operating conditions
De Fabritiis F, Gryllias K, Chauhan VK & Clifton DA (2025), Proceedings of the 31st International Congress on Sound and Vibration
BibTeX
@inproceedings{acontextawareme-2025/7,
title={A context-aware methodology for fault detection and severity classification under variable operating conditions},
author={De Fabritiis F, Gryllias K, Chauhan VK & Clifton DA},
booktitle={31st International Congress on Sound and Vibration (ICSV31)},
year = "2025"
}