Lancet Digital Health

Article	Citations
Correction to Lancet Digit Health 2024; 6: e791–802	587
Accelerating action for gender equality in health	449
Retraction remedy: a resource for transparent science	395
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	357
Machine learning to predict type 1 diabetes in children	341
Balancing AI innovation with patient safety	331
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	330
Correction to Lancet Digit Health 2023; 5: e446–57	261
Technology for world elimination of neglected tropical diseases	261
Targeting respiratory syncytial virus vaccination using individual prediction	235
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	225
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	216
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	204
Challenges for augmenting intelligence in cardiac imaging	189
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	184
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	182
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	181
Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models	178
ChatGPT: the future of discharge summaries?	174
AI-CAD for tuberculosis and other global high-burden diseases	172
A future role for health applications of large language models depends on regulators enforcing safety standards	167
Health insights from face photographs	166
Harnessing population-wide health data to predict cancer risk	164
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	159
Large language model integration in Philippine ophthalmology: early challenges and steps forward	147

Decolonising health data	140
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	138
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	136
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	132
Efficacy of standalone smartphone apps for mental health: an updated systematic review and meta-analysis	130
Synthetic data, synthetic trust: navigating data challenges in the digital revolution	128
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	127
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	119
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	119
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	118
Fairly evaluating the performance of normative models	111
Can electronic medical records predict neonatal seizures?	102
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	101
Safe care from home for complicated pregnancies?	98
US COVID-19 clinical trial leadership gender disparities	97
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	96
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	96
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	95
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	93
A long STANDING commitment to improving health care	91
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	87
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	87
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	84
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	83
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	80
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	78
Radiomics in neuro-oncological clinical trials	77
A response to evaluating national data flows	76
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	76
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	74
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England	73
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	72
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	72
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	68
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	68
Moving forward with machine learning models in acute chest pain	66
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	66
Forging the tools for a computer-aided workflow in transplant pathology	66
Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study	64
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	64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	64
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	63
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	63
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	62
Correction to Lancet Digit Health 2024; 6: e562–69	60
5 years of The Lancet Digital Health	59
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	59
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	58
AI for medical diagnosis: does a single negative trial mean it is ineffective?	57
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	57

Machine learning COVID-19 detection from wearables	57
Correction to Lancet Digit Health 2022; 4: e497–506	56
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	56
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	56
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	56
Standardising the role of a digital navigator in behavioural health: a systematic review	55
From text to treatment: the crucial role of validation for generative large language models in health care	55
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	55
Value of artificial intelligence in neuro-oncology	53
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	53
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	53
The promise of a model-based psychiatry: building computational models of mental ill health	51
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	51
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	50
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	50
The Jevons Paradox in global health: efficiency, demand, and the AI dilemma	49
Predicting seizure recurrence from medical records using large language models	49
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	49
Digital therapy for depression in multiple sclerosis	49
Digital transformation of ovarian cancer diagnosis and care	49
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	49
The sky's the limit	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	48
Just in time: detecting cardiac arrest with smartwatch technology	48
Ethical and regulatory challenges of large language models in medicine	46
Digital health equity for older populations	46
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	46
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	45
Data solidarity: a blueprint for governing health futures	44
Wearable technology and the cardiovascular system: the future of patient assessment	44
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	43
Challenges of AI-based pulmonary function estimation from chest x-rays	43
Automated external defibrillator drones and their role in emergency response	43
Curbing the carbon footprint of health care	42
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	42
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	42
AI models in health care are not colour blind and we should not be either	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
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer	41
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	41
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	40
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	40
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	40
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	40
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
Artificial intelligence in medicine and the pursuit of environmentally responsible science	39
Reflecting on lived experience expertise in digital mental health research	39
The potential for large language models to transform cardiovascular medicine	38
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	38
Artificial intelligence-driven cardiac amyloidosis screening	37
Effect of epileptic activity on outcome for critically ill patients	35
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	35
Wearable health data privacy	35
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	34
Twitter, public health, and misinformation	34
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	33
Augmenting digital twins with federated learning in medicine	33
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	33
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	33
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	33
Independent and openly reported head-to-head comparative validation studies of AI medical devices: a necessary step towards safe and responsible clinical AI deployment	32
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	31
Combating medical misinformation and rebuilding trust in the USA	30
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	30
Overcoming colonialism in pathogen genomics	30
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	30
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	29
Correction to Lancet Digit Health 2023; 5: e404–20	29
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	29
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	29
How can artificial intelligence transform the training of medical students and physicians?	29
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	29
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	28
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	28
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	28
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	28
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply	27
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning	27
Pathology in the era of generative AI	27

Crossing the frontier: the first global AI safety summit	27
Fairly evaluating the performance of normative models – Authors' reply	27
Taking responsibility for child safety online	27
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial	27
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	26
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	26
Artificial intelligence and tumour-infiltrating lymphocytes in breast cancer: bridging innovation and feasibility towards clinical utility	26
Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis	25
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	25
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	25
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study	25
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	25
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	25
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	25
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study	24
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
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
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	24
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	24
Health conditions linked to heightened risk of Alzheimer's disease	24
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	24
Advances in decision support for diagnosis and early management of acute leukaemia	24
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study	23
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study	23
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis	23
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review	23
Predicting peritoneal recurrence by artificial intelligence	22
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	22
Empowering women in health technology	22
Mitigating the risk of artificial intelligence bias in cardiovascular care	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
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study	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	21
Leveraging digital technologies to reduce cancer disparities in low-income and middle-income countries	21
A deep-learning-enabled diagnosis of ovarian cancer	21
Decentralised clinical trials: ethical opportunities and challenges	21
The performance of wearable sensors in the detection of SARS-CoV-2 infection: 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?	21
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
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	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
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	20
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	20
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	20
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	20
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	20
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	19
Preserving the integrity of clinical trials	19
Transforming women's health, empowerment, and gender equality with digital health: evidence-based policy and practice	19
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	19
The effect of using a large language model to respond to patient messages	19
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	18
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	18
Passive sensing at scale to transform understanding of poor mental health	18
Correction to Lancet Digit Health 2025; 7: e161–66	18
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist	18
Using ChatGPT to write patient clinic letters	18
Medical artificial intelligence for clinicians: the lost cognitive perspective	18
Clinical ground truth in machine learning for early sepsis diagnosis	18
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	17
Correction to Lancet Digit Health 2022; 4: e256–65	17
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
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	16
AI for mammography: making double screen-reading history	16
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	16
Remote general practitioner consultations during COVID-19	15
Computer-aided reading of chest radiographs for paediatric tuberculosis: current status and future directions	15
AI recognition of patient race in medical imaging: a modelling study	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
The impact of commercial health datasets on medical research and health-care algorithms	15
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics	14
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	14
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study	14
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	14
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply	14
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	14
Paradox of telemedicine: building or neglecting trust and equity	13
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study	13
Digital prehabilitation—a solution to resource shortages?	13
Data capture and sharing in the COVID-19 pandemic: a cause for concern	13
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	13
Treating type 2 diabetes: moving towards precision medicine	13
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance	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
Reporting standards to support cost-effectiveness evaluations of AI-driven health care	12
External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study	12
Crowdsourced predictions for emerging infectious diseases	12
Correction to Lancet Digit Health 2024; 6: e281–90	12
Development and implementation of centralised, cloud-based, employee health contact tracing database and predictive modelling framework in the COVID-19 pandemic	12
Impact of the COVID-19 pandemic on health-care use among patients with cancer in England, UK: a comprehensive phase-by-phase time-series analysis across attendance types for 38 cancers	12
Turning the tide on the opioid crisis	12
Equitable precision medicine for type 2 diabetes	12
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	12