Lancet Digital Health

Papers
(The median citation count of Lancet Digital Health is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply789
Correction to Lancet Digit Health 2023; 5: e446–57539
Correction to Lancet Digit Health 2024; 6: e791–802422
Accelerating action for gender equality in health340
Targeting respiratory syncytial virus vaccination using individual prediction306
Retraction remedy: a resource for transparent science304
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?271
Machine learning to predict type 1 diabetes in children268
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis228
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings226
Balancing AI innovation with patient safety216
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study209
Challenges for augmenting intelligence in cardiac imaging205
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study203
Technology for world elimination of neglected tropical diseases193
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis184
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies182
ChatGPT: the future of discharge summaries?177
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world175
AI-CAD for tuberculosis and other global high-burden diseases162
Decolonising health data160
Harnessing population-wide health data to predict cancer risk158
Health insights from face photographs154
A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning stud152
Building an evidence standards framework for artificial intelligence-enabled digital health technologies149
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study138
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum131
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden128
Large language model integration in Philippine ophthalmology: early challenges and steps forward126
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study118
Fairly evaluating the performance of normative models117
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis115
Digital health funding for COVID-19 vaccine deployment across four major donor agencies115
A future role for health applications of large language models depends on regulators enforcing safety standards113
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022111
US COVID-19 clinical trial leadership gender disparities109
Can electronic medical records predict neonatal seizures?109
A long STANDING commitment to improving health care108
Safe care from home for complicated pregnancies?107
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases106
The MAIDA initiative: establishing a framework for global medical-imaging data sharing106
Effect of digital psychoeducation and peer support on the mental health of family carers supporting individuals with psychosis in England (COPe-support): a randomised clinical trial105
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study104
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation104
Radiomics in neuro-oncological clinical trials87
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations86
Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intel85
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study85
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study79
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study78
Forging the tools for a computer-aided workflow in transplant pathology78
A response to evaluating national data flows75
Moving forward with machine learning models in acute chest pain75
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health72
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis69
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study67
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study67
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service67
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study67
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis66
Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank65
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study64
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis63
A machine learning-based screening tool for genetic syndromes in children – Authors' reply63
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply62
Correction to Lancet Digit Health 2024; 6: e562–6962
Correction to Lancet Digit Health 2022; 4: e497–50662
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study61
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study61
Value of artificial intelligence in neuro-oncology59
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study58
5 years of The Lancet Digital Health57
AI for medical diagnosis: does a single negative trial mean it is ineffective?57
Machine learning COVID-19 detection from wearables56
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey56
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing56
From text to treatment: the crucial role of validation for generative large language models in health care54
Standardising the role of a digital navigator in behavioural health: a systematic review52
The promise of a model-based psychiatry: building computational models of mental ill health52
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?51
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation50
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial50
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study50
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-249
The sky's the limit47
Digital therapy for depression in multiple sclerosis47
Digital health equity for older populations46
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study46
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study46
Just in time: detecting cardiac arrest with smartwatch technology46
Predicting seizure recurrence from medical records using large language models46
Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study46
Data journalism and the COVID-19 pandemic: opportunities and challenges45
Ethical and regulatory challenges of large language models in medicine45
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study45
Data solidarity: a blueprint for governing health futures45
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review45
Digital transformation of ovarian cancer diagnosis and care45
Wearable technology and the cardiovascular system: the future of patient assessment44
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery44
Generating scholarly content with ChatGPT: ethical challenges for medical publishing44
Correction to Lancet Digit Health 2021; 3: e577–8644
Challenges of AI-based pulmonary function estimation from chest x-rays43
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset42
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study42
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model42
Curbing the carbon footprint of health care41
AI models in health care are not colour blind and we should not be either41
Automated external defibrillator drones and their role in emergency response40
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study40
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance40
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution40
Importance of sample size on the quality and utility of AI-based prediction models for healthcare40
The potential for large language models to transform cardiovascular medicine40
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals40
Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial39
Menstrual irregularities and vaginal bleeding after COVID-19 vaccination reported to v-safe active surveillance, USA in December, 2020–January, 2022: an observational cohort study39
Effect of epileptic activity on outcome for critically ill patients38
Artificial intelligence in medicine and the pursuit of environmentally responsible science38
Twitter, public health, and misinformation38
Simple meal announcements and pramlintide delivery versus carbohydrate counting in type 1 diabetes with automated fast-acting insulin aspart delivery: a randomised crossover trial in Montreal, Canada38
Artificial intelligence-driven cardiac amyloidosis screening38
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study37
Wearable health data privacy37
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy37
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge37
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity37
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis36
Correction to Lancet Digit Health 2023; 5: e404–2036
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies35
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China35
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis35
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes35
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection35
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe35
Overcoming colonialism in pathogen genomics33
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research33
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening32
Combating medical misinformation and rebuilding trust in the USA32
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study31
Risk of acute respiratory infection and acute cardiovascular events following acute respiratory infection among adults with increased cardiovascular risk in England between 2008 and 2018: a retrospect31
Augmenting digital twins with federated learning in medicine31
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study30
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study30
Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study29
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study29
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply29
Taking responsibility for child safety online28
Pathology in the era of generative AI28
Fairly evaluating the performance of normative models – Authors' reply28
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning28
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis27
Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study27
Screening for facial differences worldwide: equity and ethics27
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial27
Crossing the frontier: the first global AI safety summit27
Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis27
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation26
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study26
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial25
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study25
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study25
Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia25
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study25
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study24
Mitigating the risk of artificial intelligence bias in cardiovascular care24
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study24
Health conditions linked to heightened risk of Alzheimer's disease24
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study24
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms24
Emotional competence self-help app versus cognitive behavioural self-help app versus self-monitoring app to prevent depression in young adults with elevated risk (ECoWeB PREVENT): an international, mu23
Advances in decision support for diagnosis and early management of acute leukaemia22
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-1922
Predicting hospitalisation for heart failure and death in patients with, or at risk of, heart failure before first hospitalisation: a retrospective model development and external validation study22
Predicting peritoneal recurrence by artificial intelligence21
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study21
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis21
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review21
Can AI technologies close the diagnostic gap in tuberculosis?21
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study21
Empowering women in health technology21
Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study21
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands21
Decentralised clinical trials: ethical opportunities and challenges20
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populati20
A deep-learning-enabled diagnosis of ovarian cancer20
Thank you to The Lancet Digital Health's statistical and peer reviewers in 202420
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review20
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study20
Vaccines for pregnant people: are we missing the forest for the trees?20
Correction to Lancet Digit Health 2021; 3: e697–70619
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning19
Does deidentification of data from wearable devices give us a false sense of security? A systematic review19
Passive sensing at scale to transform understanding of poor mental health19
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial19
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records19
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study19
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study19
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study19
Clinical ground truth in machine learning for early sepsis diagnosis18
Expanding people-centred primary health care with digital adaptation kits for self-care interventions18
Medical artificial intelligence for clinicians: the lost cognitive perspective18
Automated facial analysis of infant pain expressions: progress and future directions18
Transforming women's health, empowerment, and gender equality with digital health: evidence-based policy and practice18
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study18
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study17
Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies17
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study17
The effect of using a large language model to respond to patient messages17
Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study16
Correction to Lancet Digit Health 2025; 7: e161–6616
Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospect16
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence16
Using ChatGPT to write patient clinic letters16
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist16
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning16
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study16
Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France15
Computer-aided reading of chest radiographs for paediatric tuberculosis: current status and future directions15
AI for mammography: making double screen-reading history15
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study15
Remote general practitioner consultations during COVID-1915
Correction to Lancet Digit Health 2022; 4: e256–6515
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements15
Treating type 2 diabetes: moving towards precision medicine14
The impact of commercial health datasets on medical research and health-care algorithms14
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply14
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study14
Trends in invasive bacterial diseases during the first 2 years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries and territories in the IRIS Consortium14
AI recognition of patient race in medical imaging: a modelling study14
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research14
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study14
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics14
Paradox of telemedicine: building or neglecting trust and equity13
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study13
Digital prehabilitation—a solution to resource shortages?13
Data capture and sharing in the COVID-19 pandemic: a cause for concern13
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study13
Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study13
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study12
Turning the tide on the opioid crisis12
Association between digital smart device use and myopia: a systematic review and meta-analysis12
Bias and privacy in AI's cough-based COVID-19 recognition12
The global effect of digital health technologies on health workers’ competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis12
COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys12
Blockchain for increased trust in observational studies12
Opportunities for opioid overdose prediction: building a population health approach11
Towards an artificial intelligence-augmented, ECG-enabled physical exam11
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