Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction
Zhu M,  Liu Y,  Luo Z,  Zhu T,  et al. (2026)

Foundation models enable wearable signal screening for cardiovascular disease among people living with HIV.
Mesinovic M,  Bich HH,  Trieu LV,  Quoc VN,  Thanh NN,  Hoang TAN,  Hoang MTV,  Khanh PNQ,  Vo XH,  Hong PV,  Van KLD,  Minh YL,  Thwaites L,  Zhu T,  et al. (2026)

Screening for hypertension in the inpatient environment (SHINE): a prospective diagnostic accuracy study among adult hospital patients.
Armitage LC,  Roman C,  Lawson BK,  Mahdi A,  Biggs C,  Young L,  Edmundson H,  Fanshawe T,  Tarassenko L,  Farmer A,  Watkinson PJ,  et al. (2026)

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,  Sulley G,  Kohan Marzagão D,  Gregory G,  Clifton D,  Siviour C,  Williams CK,  et al. (2026)

Reliability of LLMs as medical assistants for the general public: a randomized preregistered study.
Bean AM,  Payne RE,  Parsons G,  Kirk HR,  Ciro J,  Mosquera-Gómez R,  Hincapié M S,  Ekanayaka AS,  Tarassenko L,  Rocher L,  Mahdi A,  et al. (2026)

When to and when not to use machine learning in risk prediction models
Clifton L,  Powell J,  Clifton DA,  Sheikh A,  et al. (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,  Meeraus W,  Venkatesan S,  Taylor S,  de Lusignan S,  Clifton DA,  et al. (2026)

An interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes
Vanegas Mueller E,  Harford M,  He L,  Banerjee A,  Leeson P,  Villarroel M,  et al. (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,  Sulley GS,  Marzagão DK,  Gregory GL,  Clifton DA,  Siviour CR,  Williams CK,  et al. (2026)

Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment.
Tran DM,  Thanh Dung N,  Minh Duc C,  Ngoc Hon H,  Minh Khoi L,  Phuc Hau N,  Thi Thu Huyen D,  Thi Le Thu H,  Van Duc T,  VITAL (Vietnam ICU Translational Applications Laboratory) Investigators ,  Minh Yen L,  Thwaites CL,  Paton C,  et al. (2025)

Corrigendum to 'Remote Vital Sign Monitoring in Admission Avoidance Hospital at Home: A Systematic Review' [Journal of the American Medical Directors Association 25 (2024) 105080].
Patel R,  Thornton-Swan TD,  Armitage LC,  Vollam S,  Tarassenko L,  Lasserson DS,  Farmer AJ,  et al. (2024)

CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation
Gowda SN,  Clifton DA,  et al. (2025)

RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model
Bie F,  Yang Y,  Zhou Z,  Ghanem A,  Zhang M,  Yao Z,  Wu X,  Holmes C,  Golnari P,  Clifton DA,  He Y,  Tao D,  Song SL,  et al. (2023)

Monitoring activity of Hip Injury Patients (MoHIP): A sub-study of the World Hip Trauma
Armitage L,  Chi Y,  Santos M,  Lawson B,  Areia C,  Velardo C,  Watkinson P,  Tarassenko L,  Costa M,  et al. (2025)

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Liu F,  Li Z,  Yin Q,  Huang J,  Luo J,  Thakur A,  Branson K,  Schwab P,  Yin B,  Wu X,  Zheng Y,  Clifton DA,  et al. (2025)

Voice EHR: introducing multimodal audio data for health
Anibal J,  Huth H,  Li M,  Hazen L,  Daoud V,  Ebedes D,  Lam YM,  Nguyen H,  Hong PV,  Kleinman M,  Ost S,  Jackson C,  Sprabery L,  Elangovan C,  Krishnaiah B,  Akst L,  Lina I,  Elyazar I,  Ekawati L,  Jansen S,  Nduwayezu R,  Garcia C,  Plum J,  Brenner J,  Clifton D,  et al. (2025)

Application of large language models in medicine
Liu F,  Zhou H,  Gu B,  Zou X,  Huang J,  Wu J,  Li Y,  Chen SS,  Hua Y,  Zhou P,  Liu J,  Mao C,  You C,  Wu X,  Zheng Y,  Clifton L,  Li Z,  Luo J,  Clifton DA,  et al. ()

Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring
Wang X,  Gao H,  Ma C,  Zhu T,  Yang F,  Liu C,  Fu H,  et al. (2025)

A perspective on individualized treatment effects estimation from time-series health data
Ghosheh GO,  Gögl M,  Zhu T,  et al. (2025)

Awake Prone Positioning in Adults With COVID-19: An Individual Participant Data Meta-Analysis.
Luo J,  Pavlov I,  Tavernier E,  Perez Y,  Kharat A,  McNicholas B,  Roca O,  Vines DL,  Ibarra-Estrada M,  Alhazzani W,  Lewis K,  Simpson SQ,  Rampon G,  Liu L,  Sun Q,  Qiu H,  Yang Y,  Lapadula G,  Qian ET,  Gatto CL,  Rice TW,  Parhar KKS,  Weatherald J,  Walkey AJ,  Bosch NA,  Nay M-A,  Boulain T,  Fossat G,  Harris TRE,  Thwaites CL,  Phong NT,  Bonfanti P,  Yarahmadi S,  Hashemian SM,  Jayakumar D,  Taylor SP,  Johnson SA,  Guerin C,  Laffey JG,  Ehrmann S,  Li J,  Awake Prone Positioning Meta-Analysis Group ,  et al. (2025)

Is it time to revisit the scoring of Slow Wave (N3) Sleep?
Davidson S,  Sharman R,  Kyle SD,  Tarassenko L,  et al. (2025)

Transformers and large language models are efficient feature extractors for electronic health record studies
Yuan K,  Yoon CH,  Gu Q,  Munby H,  Walker AS,  Zhu T,  Eyre DW,  et al. (2025)

Microtitre Plate Image Augmentation with Generative Adversarial Networks
Li R,  Chai T,  Kouchaki S,  Clifton D,  Yang Y,  et al. (2025)

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Chauhan VK,  Clifton L,  Nigam G,  Clifton D,  et al. ()

Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition
Wang Z,  Ma C,  Zhang S,  Zhao M,  Liu Y,  Zhao L,  Zhu T,  Li J,  Liu C,  et al. (2025)

Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation
Segal B,  Fieggen J,  Clifton D,  Clifton L,  et al. (2025)

A scoping review of large language models for generative tasks in mental health care.
Hua Y,  Na H,  Li Z,  Liu F,  Fang X,  Clifton D,  Torous J,  et al. (2025)

Benchmarking transformer-based models for medical record deidentification: A single centre, multi-specialty evaluation
Kuo R,  Soltan AAS,  O'Hanlon C,  Hasanic A,  Clifton DA,  Collins GS,  Furniss D,  Eyre DW,  et al. (2025)

Transformers for rapid detection of airway stenosis and stridor
Anibal J,  Doctor R,  Boyer M,  Newberry K,  De Santiago I,  Awan S,  Abdel-Aty Y,  Dion G,  Daoud V,  Huth H,  Watts S,  Wood BJ,  Clifton D,  Gelbard A,  Powell M,  Toghranegar J,  Bensoussan Y,  et al. (2025)

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
Segal B,  Fieggen J,  Clifton D,  Clifton L,  et al. (2025)

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction
Liu F,  Wu J,  Zhou H,  Gu X,  Molaei S,  Thakur A,  Clifton L,  Wu H,  Clifton DA,  et al. (2025)