Lancet Digital Health

Article	Citations
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	751
Correction to Lancet Digit Health 2023; 5: e446–57	529
Correction to Lancet Digit Health 2024; 6: e791–802	408
Accelerating action for gender equality in health	332
Targeting respiratory syncytial virus vaccination using individual prediction	295
Retraction remedy: a resource for transparent science	290
Technology for world elimination of neglected tropical diseases	257
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	249
Machine learning to predict type 1 diabetes in children	222
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	217
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	212
Challenges for augmenting intelligence in cardiac imaging	203
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	198
Balancing AI innovation with patient safety	196
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	190
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	182
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	175
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	175
ChatGPT: the future of discharge summaries?	167
AI-CAD for tuberculosis and other global high-burden diseases	158
Decolonising health data	157
Harnessing population-wide health data to predict cancer risk	154
Large language model integration in Philippine ophthalmology: early challenges and steps forward	152
Health insights from face photographs	149
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	146

Digital health funding for COVID-19 vaccine deployment across four major donor agencies	146
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	132
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	123
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	122
Fairly evaluating the performance of normative models	118
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	115
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	114
A future role for health applications of large language models depends on regulators enforcing safety standards	110
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	109
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	107
Can electronic medical records predict neonatal seizures?	106
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	106
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	106
US COVID-19 clinical trial leadership gender disparities	103
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	103
A long STANDING commitment to improving health care	103
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	102
Safe care from home for complicated pregnancies?	102
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	102
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	101
Radiomics in neuro-oncological clinical trials	100
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	99
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	86
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	85
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	85
Forging the tools for a computer-aided workflow in transplant pathology	81
A response to evaluating national data flows	78
Moving forward with machine learning models in acute chest pain	75
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	75
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	74
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	73
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	71
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	67
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	67
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	66
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	66
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	66
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	66
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	65
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	65
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	64
Correction to Lancet Digit Health 2024; 6: e562–69	62
Correction to Lancet Digit Health 2022; 4: e497–506	62
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	61
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	60
AI for medical diagnosis: does a single negative trial mean it is ineffective?	59
The promise of a model-based psychiatry: building computational models of mental ill health	59
5 years of The Lancet Digital Health	57
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	57

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	56
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	55
Machine learning COVID-19 detection from wearables	55
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	55
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	54
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	54
From text to treatment: the crucial role of validation for generative large language models in health care	54
Standardising the role of a digital navigator in behavioural health: a systematic review	52
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	50
Digital therapy for depression in multiple sclerosis	50
The sky's the limit	50
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	48
Predicting seizure recurrence from medical records using large language models	48
Just in time: detecting cardiac arrest with smartwatch technology	47
Data journalism and the COVID-19 pandemic: opportunities and challenges	47
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	46
Data solidarity: a blueprint for governing health futures	45
Digital health equity for older populations	45
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	45
Digital transformation of ovarian cancer diagnosis and care	45
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	45
Wearable technology and the cardiovascular system: the future of patient assessment	45
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	45
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	44
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	44
Correction to Lancet Digit Health 2021; 3: e577–86	44
Ethical and regulatory challenges of large language models in medicine	44
AI models in health care are not colour blind and we should not be either	43
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	43
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	43
Challenges of AI-based pulmonary function estimation from chest x-rays	43
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	43
Curbing the carbon footprint of health care	41
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	41
Automated external defibrillator drones and their role in emergency response	40
Artificial intelligence in medicine and the pursuit of environmentally responsible science	40
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	39
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	39
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	39
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	39
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	39
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	39
The potential for large language models to transform cardiovascular medicine	39
Artificial intelligence-driven cardiac amyloidosis screening	38
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	38
Twitter, public health, and misinformation	38
Effect of epileptic activity on outcome for critically ill patients	38
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	37
Correction to Lancet Digit Health 2023; 5: e404–20	37
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	37
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	37
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	37
Wearable health data privacy	37
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	37
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	37
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	35
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	35
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	35
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	35
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	35
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	35
Overcoming colonialism in pathogen genomics	34
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	33
Combating medical misinformation and rebuilding trust in the USA	32
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	32
Augmenting digital twins with federated learning in medicine	32
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	32
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	32
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	31
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	31
Fairly evaluating the performance of normative models – Authors' reply	30
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply	30
Taking responsibility for child safety online	29
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning	29
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	28
Crossing the frontier: the first global AI safety summit	28
Screening for facial differences worldwide: equity and ethics	28
Pathology in the era of generative AI	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
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	27

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis	27
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study	27
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 study	26
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	26
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial	25
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	25
Health conditions linked to heightened risk of Alzheimer's disease	25
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	25
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	25
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	25
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands	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	24
Can AI technologies close the diagnostic gap in tuberculosis?	24
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study	24
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	24
Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study	24
Mitigating the risk of artificial intelligence bias in cardiovascular care	23
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis	23
Advances in decision support for diagnosis and early management of acute leukaemia	23
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study	23
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study	22
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	22
Predicting peritoneal recurrence by artificial intelligence	21
Empowering women in health technology	21
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study	21
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	21
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review	21
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2024	21
Vaccines for pregnant people: are we missing the forest for the trees?	20
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	20
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	20
A deep-learning-enabled diagnosis of ovarian cancer	20
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	20
Decentralised clinical trials: ethical opportunities and challenges	20
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	19
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	19
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	19
Correction to Lancet Digit Health 2021; 3: e697–706	19
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	19
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	19
Passive sensing at scale to transform understanding of poor mental health	19
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	19
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	18
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	18
Automated facial analysis of infant pain expressions: progress and future directions	18
Artificial intelligence and sexual health in the USA	18
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	18
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	18
Transforming women's health, empowerment, and gender equality with digital health: evidence-based policy and practice	17
Medical artificial intelligence for clinicians: the lost cognitive perspective	17
The effect of using a large language model to respond to patient messages	17
Clinical ground truth in machine learning for early sepsis diagnosis	17
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	17
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	17
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	16
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	16
AI for mammography: making double screen-reading history	16
Remote general practitioner consultations during COVID-19	16
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist	16
Using ChatGPT to write patient clinic letters	16
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	16
Correction to Lancet Digit Health 2025; 7: e161–66	16
Correction to Lancet Digit Health 2022; 4: e256–65	16
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	16
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	16
The impact of commercial health datasets on medical research and health-care algorithms	15
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	15
AI recognition of patient race in medical imaging: a modelling study	15
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	15
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	15
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	14
Paradox of telemedicine: building or neglecting trust and equity	14
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study	14
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics	14
Treating type 2 diabetes: moving towards precision medicine	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
Digital prehabilitation—a solution to resource shortages?	14
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply	14
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study	14
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
Data capture and sharing in the COVID-19 pandemic: a cause for concern	13
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	13
Association between digital smart device use and myopia: a systematic review and meta-analysis	13
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	13
Blockchain for increased trust in observational studies	13
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	13
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	13
Turning the tide on the opioid crisis	13
Towards an artificial intelligence-augmented, ECG-enabled physical exam	12
Correction to Lancet Digit Health 2024; 6: e281–90	12
Bias and privacy in AI's cough-based COVID-19 recognition	12
Opportunities for opioid overdose prediction: building a population health approach	12
Crowdsourced predictions for emerging infectious diseases	11
Enhancing the success of IVF with artificial intelligence	11
External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study	11