Digital Health Publications
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)
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)
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)
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)
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)
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)
Clifton L, Powell J, Clifton DA, Sheikh A, et al. (2026)
Interpretable multimodal machine learning model for predicting health risks of patients with heart failure
Chae R, Zhou J, Chou OHI, Yang B, Pu H, Tse G, Cheung BMY, Zhu T, Car J, Lu L, et al. (2026)
Chae R, Zhou J, Chou OHI, Yang B, Pu H, Tse G, Cheung BMY, Zhu T, Car J, Lu L, 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)
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)
Longitudinal cardiorespiratory wearable sleep staging in the home
Davidson S, Carter JF, Stanyer EC, Sharman R, Roman C, Kyle SD, Tarassenko L, et al. (2026)
Davidson S, Carter JF, Stanyer EC, Sharman R, Roman C, Kyle SD, Tarassenko L, 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)
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)
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)
Causal Graph Neural Networks for Healthcare
Mesinovic M, Buhlan M, Zhu T, et al. (2026)
Mesinovic M, Buhlan M, Zhu T, et al. (2026)
Digital morphine: why AI scribes are symptomatic relief for a broken system
Segal B, Allen L, Fieggen J, Clifton D, Clifton L, et al. (2026)
Segal B, Allen L, Fieggen J, Clifton D, Clifton L, et al. (2026)
Optimising the monitoring and management of raised blood pressure including proteinuria testing during pregnancy: the BUMP research programme including 2 RCTs
McManus RJ, Chappell LC, Tucker KL, Hinton L, Rivero-Arias O, Allen J, Band R, Campbell HE, Chisholm A, Green M, Galal U, Greenfield S, Hodgkinson J, Jakubowski B, Lavallee L, Leeson P, Mackillop LH, McCourt C, Mort S, Pealing LM, Sandall J, Stevens RJ, Tarassenko L, Wilson H, Yardley L, Yu L-M, et al. (2026)
McManus RJ, Chappell LC, Tucker KL, Hinton L, Rivero-Arias O, Allen J, Band R, Campbell HE, Chisholm A, Green M, Galal U, Greenfield S, Hodgkinson J, Jakubowski B, Lavallee L, Leeson P, Mackillop LH, McCourt C, Mort S, Pealing LM, Sandall J, Stevens RJ, Tarassenko L, Wilson H, Yardley L, Yu L-M, et al. (2026)
A soft robotic glove providing proprioceptive feedback for grip force regulation training
Lei Y, Hashem R, Villarroel Montoya M, Liang H, et al. (2026)
Lei Y, Hashem R, Villarroel Montoya M, Liang H, et al. (2026)
Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
Thakur A, Molaei S, Nganjimi PC, Fieggen J, Soltan AAS, Belgrave D, Clifton L, Clifton DA, et al. (2026)
Thakur A, Molaei S, Nganjimi PC, Fieggen J, Soltan AAS, Belgrave D, Clifton L, Clifton DA, et al. (2026)
Multi-material direct ink writing and embroidery for stretchable wearable sensors
Cha L, Hashem R, Prakash R, Declety T, Zhang W, He L, et al. (2026)
Cha L, Hashem R, Prakash R, Declety T, Zhang W, He L, et al. (2026)
Publisher Correction: 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)
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)
Identifying clinician perceived priorities for a real-time wearable system for in-hospital monitoring: findings and evolutions following the COVID-19 pandemic
Vollam S, Roman C, King E, Tarassenko L, et al. (2026)
Vollam S, Roman C, King E, Tarassenko L, et al. (2026)
Towards automated joint detection in sleep studies: bridging clinical insight and artificial intelligence
Dorier A, Ratti P-L, Symmonds M, Quinnell T, Dennis G, Lo C, Hu MT, Villarroel M, et al. (2026)
Dorier A, Ratti P-L, Symmonds M, Quinnell T, Dennis G, Lo C, Hu MT, Villarroel M, et al. (2026)
A Review of Deep Learning for Individualized Treatment Effect Estimation in Healthcare Time Series
Cai Z, Liu Y, Zhu T, et al. (2026)
Cai Z, Liu Y, Zhu T, et al. (2026)
Drug or Pokémon? An analysis of the ability of large language models to discern fabricated medications
Henry K, Murray B, Zhao X, Blotske K, Gao Y, Smith B, Le K, Smith SE, Barreto EF, Bauer S, Sohn S, Liu T, Bennett T, Cohen M, Abdulnour R-EE, Zhou H, Liu F, Clifton DA, Sikora A, et al. (2026)
Henry K, Murray B, Zhao X, Blotske K, Gao Y, Smith B, Le K, Smith SE, Barreto EF, Bauer S, Sohn S, Liu T, Bennett T, Cohen M, Abdulnour R-EE, Zhou H, Liu F, Clifton DA, Sikora A, et al. (2026)
Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence.
Chen Y, Thakur A, Soltan AAS, Shen Y, Li D, Dong M, Shang L, Clifton DA, Wang Y, et al. (2026)
Chen Y, Thakur A, Soltan AAS, Shen Y, Li D, Dong M, Shang L, Clifton DA, Wang Y, et al. (2026)
Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation
Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton D, Thakur A, et al. (2026)
Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton D, Thakur A, et al. (2026)
Insights from nine nights of self-applied, low-density sleep EEG during sleep restriction therapy: a proof-of-concept evaluation
Stanyer EC, Le Roux M, Sharman R, Ribeiro Pereira SI, Davidson SM, Tarassenko L, Espie CA, Kyle SD, et al. (2026)
Stanyer EC, Le Roux M, Sharman R, Ribeiro Pereira SI, Davidson SM, Tarassenko L, Espie CA, Kyle SD, et al. (2026)
Risk of apnoea-related cardiorespiratory instability in preterm infants is modulated by clinical, demographic and dynamic indicators
Chen Y, Ketheeswaranathan V, Fordington S, Baxter L, Stevens F, Zandvoort CS, Gawthorpe R, Villarroel M, Berthouze L, Hartley C, et al. (2026)
Chen Y, Ketheeswaranathan V, Fordington S, Baxter L, Stevens F, Zandvoort CS, Gawthorpe R, Villarroel M, Berthouze L, Hartley C, et al. (2026)
3D-Printed Highly Entangled Hydrogels for Strong, Fast, and Fatigue-Resistant Soft Hydraulic Actuators
Wu L, Chen Y, Yue T, He L, Rossiter J, et al. (2026)
Wu L, Chen Y, Yue T, He L, Rossiter J, et al. (2026)
A systematic review of explainable artificial intelligence and cardiac electrophysiological models addressing sports-related sudden cardiac death and arrest in adolescents and young adults.
Vanegas Müller E, Srikijkasemwat N, Gan A, Raman B, Harford M, He L, Banerjee A, Gehmlich K, Leeson P, Villarroel M, et al. (2026)
Vanegas Müller E, Srikijkasemwat N, Gan A, Raman B, Harford M, He L, Banerjee A, Gehmlich K, Leeson P, Villarroel M, et al. (2026)
Beyond event-rate enrichment: proteomic risk scores for mechanism-aware prevention trial design
Fieggen J, Simond G, Segal BM, Noori A, Thakurta A, Butler CC, Clifton DA, Clifton L, et al. (2026)
Fieggen J, Simond G, Segal BM, Noori A, Thakurta A, Butler CC, Clifton DA, Clifton L, et al. (2026)
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
Tang W, Han J, Cui K, Carletti M, Gustafsson FK, Gowda SN, Palo P, Thakur A, Clifton L, Morel J-M, Chan RH, Clifton DA, Gu X, et al. (2026)
Tang W, Han J, Cui K, Carletti M, Gustafsson FK, Gowda SN, Palo P, Thakur A, Clifton L, Morel J-M, Chan RH, Clifton DA, Gu X, et al. (2026)
Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training
Li J, Hashem R, Hou N, Maiolino P, Halamek L, He L, et al. (2026)
Li J, Hashem R, Hou N, Maiolino P, Halamek L, He L, et al. (2026)