Lancet Digital Health

Article	Citations
Targeting respiratory syncytial virus vaccination using individual prediction	869
Correction to Lancet Digit Health 2023; 5: e446–57	569
Correction to Lancet Digit Health 2024; 6: e791–802	435
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	365
Accelerating action for gender equality in health	331
Retraction remedy: a resource for transparent science	321
Technology for world elimination of neglected tropical diseases	307
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	298
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	243
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	241
Machine learning to predict type 1 diabetes in children	223
Balancing AI innovation with patient safety	216
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	209
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	203
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	201
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	193
Challenges for augmenting intelligence in cardiac imaging	181
ChatGPT: the future of discharge summaries?	171
AI-CAD for tuberculosis and other global high-burden diseases	171
Decolonising health data	170
Health insights from face photographs	168
Harnessing population-wide health data to predict cancer risk	162
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	155
Large language model integration in Philippine ophthalmology: early challenges and steps forward	154
Fairly evaluating the performance of normative models	150

Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	145
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	140
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	138
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	132
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden	124
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study	122
A future role for health applications of large language models depends on regulators enforcing safety standards	121
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 stud	119
Can electronic medical records predict neonatal seizures?	118
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	117
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	117
US COVID-19 clinical trial leadership gender disparities	115
A long STANDING commitment to improving health care	113
Safe care from home for complicated pregnancies?	112
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	109
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	109
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	96
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	95
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 intel	94
Radiomics in neuro-oncological clinical trials	90
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	90
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 trial	86
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	84
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	83
Moving forward with machine learning models in acute chest pain	82
A response to evaluating national data flows	82
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	80
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	75
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	75
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	74
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	74
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	74
Forging the tools for a computer-aided workflow in transplant pathology	73
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	72
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	71
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 Biobank	69
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	66
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	66
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	65
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	64
Correction to Lancet Digit Health 2024; 6: e562–69	64
Correction to Lancet Digit Health 2022; 4: e497–506	64
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	64
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	62
5 years of The Lancet Digital Health	62
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	60
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	58
Standardising the role of a digital navigator in behavioural health: a systematic review	56
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	55
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	55

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	54
The promise of a model-based psychiatry: building computational models of mental ill health	54
Value of artificial intelligence in neuro-oncology	53
AI for medical diagnosis: does a single negative trial mean it is ineffective?	53
From text to treatment: the crucial role of validation for generative large language models in health care	53
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	52
Machine learning COVID-19 detection from wearables	52
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	52
The sky's the limit	52
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	52
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	51
Predicting seizure recurrence from medical records using large language models	51
Digital therapy for depression in multiple sclerosis	51
Just in time: detecting cardiac arrest with smartwatch technology	49
Digital transformation of ovarian cancer diagnosis and care	49
Wearable technology and the cardiovascular system: the future of patient assessment	48
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	48
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	48
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 study	47
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	47
Ethical and regulatory challenges of large language models in medicine	46
Digital health equity for older populations	46
Data solidarity: a blueprint for governing health futures	46
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	46
Challenges of AI-based pulmonary function estimation from chest x-rays	45
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	45
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	45
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	44
Curbing the carbon footprint of health care	43
Automated external defibrillator drones and their role in emergency response	43
Menstrual irregularities and vaginal bleeding after COVID-19 vaccination reported to v-safe active surveillance, USA in December, 2020–January, 2022: an observational cohort study	42
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	42
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, Canada	42
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	42
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	42
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	42
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	42
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 trial	41
Artificial intelligence in medicine and the pursuit of environmentally responsible science	41
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 hospitals	40
Twitter, public health, and misinformation	40
Wearable health data privacy	40
The potential for large language models to transform cardiovascular medicine	40
Artificial intelligence-driven cardiac amyloidosis screening	40
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	40
AI models in health care are not colour blind and we should not be either	40
Effect of epileptic activity on outcome for critically ill patients	40
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	40
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	39
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	39
Correction to Lancet Digit Health 2023; 5: e404–20	39
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	38
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	38
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	38
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	38
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	37
Overcoming colonialism in pathogen genomics	37
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	37
How can artificial intelligence transform the training of medical students and physicians?	37
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	36
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	34
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 study	34
Augmenting digital twins with federated learning in medicine	34
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	33
Combating medical misinformation and rebuilding trust in the USA	32
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	32
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	31
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 retrospect	31
Taking responsibility for child safety online	30
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	30
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply	30
Fairly evaluating the performance of normative models – Authors' reply	30
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	30
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning	29
Pathology in the era of generative AI	29
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	28
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial	28
Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia	28
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 trial	28
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis	27

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis	27
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	27
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study	27
Crossing the frontier: the first global AI safety summit	26
Health conditions linked to heightened risk of Alzheimer's disease	26
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	26
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	26
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis	25
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, mu	25
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study	25
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 study	25
Advances in decision support for diagnosis and early management of acute leukaemia	25
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study	25
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	24
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	24
Mitigating the risk of artificial intelligence bias in cardiovascular care	24
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands	24
Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study	23
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study	23
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study	23
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	23
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review	23
Decentralised clinical trials: ethical opportunities and challenges	22
Predicting peritoneal recurrence by artificial intelligence	22
Empowering women in health technology	22
Digital adherence technology interventions to reduce poor end-of-treatment outcomes and recurrence among adults with drug-sensitive tuberculosis in Ethiopia: a three-arm, pragmatic, cluster-randomised	22
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 populati	22
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2024	22
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	21
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	21
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	21
A deep-learning-enabled diagnosis of ovarian cancer	21
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	21
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	21
Correction to Lancet Digit Health 2021; 3: e697–706	21
Vaccines for pregnant people: are we missing the forest for the trees?	21
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	21
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	21
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist	20
Clinical ground truth in machine learning for early sepsis diagnosis	20
Transforming women's health, empowerment, and gender equality with digital health: evidence-based policy and practice	20
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	20
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	20
Passive sensing at scale to transform understanding of poor mental health	20
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 studies	20
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	19
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 retrospect	19
The effect of using a large language model to respond to patient messages	19
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	19
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	19
Using ChatGPT to write patient clinic letters	18
Medical artificial intelligence for clinicians: the lost cognitive perspective	18
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 France	18
Correction to Lancet Digit Health 2025; 7: e161–66	18
Correction to Lancet Digit Health 2022; 4: e256–65	18
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 study	18
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	18
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	17
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	17
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	17
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	17
The impact of commercial health datasets on medical research and health-care algorithms	17
Computer-aided reading of chest radiographs for paediatric tuberculosis: current status and future directions	17
AI for mammography: making double screen-reading history	17
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 Consortium	17
Remote general practitioner consultations during COVID-19	16
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply	16
AI recognition of patient race in medical imaging: a modelling study	16
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics	16
Treating type 2 diabetes: moving towards precision medicine	16
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study	16
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 study	15
Paradox of telemedicine: building or neglecting trust and equity	15
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	15
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	15
Digital prehabilitation—a solution to resource shortages?	15
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-analysis	14
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 surveys	14
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study	14
Data capture and sharing in the COVID-19 pandemic: a cause for concern	14
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study	14
Blockchain for increased trust in observational studies	13
Towards an artificial intelligence-augmented, ECG-enabled physical exam	13
Bias and privacy in AI's cough-based COVID-19 recognition	13
Crowdsourced predictions for emerging infectious diseases	13
Association between digital smart device use and myopia: a systematic review and meta-analysis	13
Turning the tide on the opioid crisis	13
Measuring fairness preferences is important for artificial intelligence in health care	12
Equitable precision medicine for type 2 diabetes	12
External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study	12
Enhancing the success of IVF with artificial intelligence	12
Correction to Lancet Digit Health 2024; 6: e281–90	12
Development and validation of a composite digital balance score for spinocerebellar ataxia: a prospective study	12
Opportunities for opioid overdose prediction: building a population health approach	12
Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses	12