David Clifton
Professor
Leads the Computational Health Informatics Lab developing machine learning and large language models for healthcare.
David Clifton's lab at Oxford works on medical imaging & healthcare AI and large language models. 142 papers since 2023, 29 at top venues, mostly TPAMI and npj Digital Medicine. 14 PhD students. 28 alumni. Applications close .
At a glance
- papers, 2023–2026
- 37/ year
- at T1 venues
- 20%
- PhD students
- 14
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 5 · collecting
- 45 papers2025 · T1 8
- 44 papers2024 · T1 8
- 41 papers2023 · T1 8
T1 venuesOtherVenues: TPAMI, npj Digital Medicine, Nature Communications, NeurIPS, AISTATS
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI32 papers
- Large language models27 papers
- computational health0 papers
- health informatics0 papers
- developing machine0 papers
Paper list
From the lab homepage.
202612 papers
- ACL (T1)Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval (opens in a new tab)
- Nature Machine Intelligence (T1)Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals (opens in a new tab)
- AIMedHealthClinical-R1: empowering large language models for faithful and comprehensive reasoning with clinical objective relative policy optimization
- Diagnostic and Interventional RadiologyDevelopment and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging (opens in a new tab)
- BMJ Digital Health & AIDigital morphine: why AI scribes are symptomatic relief for a broken system (opens in a new tab)
- Journal of the American Chemical SocietyGraph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics. (opens in a new tab)
- Laryngoscope Investigative OtolaryngologyLarge Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects (opens in a new tab)
- Nature Communications (T1)Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence (opens in a new tab)
- AAAI (T1)Neuro-symbolic federated learning over heterogeneous data-views: a structured approach to distributive EHR modelling (opens in a new tab)
- PLOS ONEPrediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study (opens in a new tab)
- TPAMI (T1)ShadowNet for Data-Centric Quantum System Learning (opens in a new tab)
- The Lancet Digital HealthWhen to and when not to use machine learning in risk prediction models (opens in a new tab)
202545 papers
- Nature Biomedical EngineeringA collaborative large language model for drug analysis (opens in a new tab)
- ICSV31A context-aware methodology for fault detection and severity classification under variable operating conditions
- Clinical ImagingA multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates (opens in a new tab)
- npj Digital MedicineA multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis (opens in a new tab)
- npj Digital MedicineA scoping review of large language models for generative tasks in mental health care (opens in a new tab)
- CirculationAbstract 4362776: Multimodal and Serial Electrocardiogram and Chest X-ray Age Have Prognostic Significance as Biomarkers for Cardiovascular Health (opens in a new tab)
- TPAMI (T1)Aligning, autoencoding and prompting large language models for novel disease reporting (opens in a new tab)
- PLOS Digital HealthAn artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data (opens in a new tab)
- Nature Reviews BioengineeringApplication of large language models in medicine (opens in a new tab)
- JAMA Internal MedicineAwake prone positioning in adults with COVID-19 (opens in a new tab)
- iScienceBenchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation (opens in a new tab)
- Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyBridging the generalisation gap: synthetic data generation for multi-site clinical model validation (opens in a new tab)
202444 papers
- Artificial Intelligence ReviewA brief review of hypernetworks in deep learning (opens in a new tab)
- Proceedings of the ACM International Conference on Bioinformatics, Computational Biology and Health InformaticsA Comparison of Representation Learning Methods for Medical Concepts in EHR Databases (opens in a new tab)
- Lancet Digital HealthA scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals (opens in a new tab)
- JMIR Human FactorsAcceptance and user experiences of a wearable device for the management of hospitalized patients in COVID-19–designated wards in Ho Chi Minh City, Vietnam: action learning project (opens in a new tab)
- BMC Medical Informatics and Decision MakingAddressing label noise for electronic health records: insights from computer vision for tabular data (opens in a new tab)
- Computers & Electrical EngineeringAn improved deep regression model with state space reconstruction for continuous blood pressure estimation (opens in a new tab)
- Proceedings of Machine Learning ResearchAre Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare?
- BMJ OpenAtrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process (opens in a new tab)
- Wellcome Open ResearchAwake prone positioning effectiveness in moderate to severe COVID-19 a randomized controlled trial (opens in a new tab)
- Journal of InfectionAZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: the RAVEN cohort study (opens in a new tab)
- Scientific ReportsClinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients (opens in a new tab)
- Journal of Healthcare Informatics ResearchCliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks (opens in a new tab)
202341 papers
- Sensors2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries (opens in a new tab)
- NPJ digital medicineA medical multimodal large language model for future pandemics. (opens in a new tab)
- SensorsA stacked long short-term memory approach for predictive blood glucose monitoring in women with gestational diabetes mellitus (opens in a new tab)
- AISTATS (T1)Adversarial de-confounding in individualised treatment effects estimation
- Nature Machine Intelligence (T1)Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning (opens in a new tab)
- NPJ Digital MedicineAn adversarial training framework for mitigating algorithmic biases in clinical machine learning (opens in a new tab)
- The Lancet MicrobeBedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis (opens in a new tab)
- Critical CareClinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit (opens in a new tab)
- Scientific ReportsCombining machine learning with Cox models to identify predictors for incident post-menopausal breast cancer in the UK Biobank (opens in a new tab)
- Machine LearningDeep reinforcement learning for multi-class imbalanced training: applications in healthcare (opens in a new tab)
- IEEE Reviews in Biomedical EngineeringDigital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes (opens in a new tab)
- Findings of EMNLPDisfluent Cues for Enhanced Speech Understanding in Large Language Models (opens in a new tab)
Where alumni went28 listed
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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