Lancet Digital Health

Article	Citations
Can technology increase COVID-19 vaccination rates?	673
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	487
Correction to Lancet Digit Health 2023; 5: e446–57	378
Correction to Lancet Digit Health 2024; 6: e791–802	364
Balancing AI innovation with patient safety	294
Accelerating action for gender equality in health	271
Targeting respiratory syncytial virus vaccination using individual prediction	252
Technology for world elimination of neglected tropical diseases	214
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	193
Retraction remedy: a resource for transparent science	192
Challenges for augmenting intelligence in cardiac imaging	188
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	187
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	187
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	186
Machine learning to predict type 1 diabetes in children	185
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	175
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	174
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	157
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	156
ChatGPT: the future of discharge summaries?	155
Fairly evaluating the performance of normative models	145
AI-CAD for tuberculosis and other global high-burden diseases	145
Decolonising health data	138
Big data, artificial intelligence, and the opioid crisis	138
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	135

Harnessing population-wide health data to predict cancer risk	135
Large language model integration in Philippine ophthalmology: early challenges and steps forward	129
An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on bip	128
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	126
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	122
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	117
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	111
A future role for health applications of large language models depends on regulators enforcing safety standards	109
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	107
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	103
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	103
Can electronic medical records predict neonatal seizures?	99
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	99
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	97
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	97
Radiomics in neuro-oncological clinical trials	95
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	95
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	94
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	93
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	91
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	88
US COVID-19 clinical trial leadership gender disparities	87
A long STANDING commitment to improving health care	86
Safe care from home for complicated pregnancies?	83
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	81
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	80
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	76
Health information technology and digital innovation for national learning health and care systems	76
Forging the tools for a computer-aided workflow in transplant pathology	74
Moving forward with machine learning models in acute chest pain	72
A response to evaluating national data flows	72
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	71
Continual learning in medical devices: FDA's action plan and beyond	70
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	68
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	62
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	62
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	61
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	60
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	60
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	59
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	59
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	58
Correction to Lancet Digit Health 2021; 3: e317–29	58
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	57
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	57
Correction to Lancet Digit Health 2022; 4: e497–506	57
Correction to Lancet Digit Health 2024; 6: e562–69	56
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	56

From text to treatment: the crucial role of validation for generative large language models in health care	55
Machine learning COVID-19 detection from wearables	54
5 years of The Lancet Digital Health	54
AI for medical diagnosis: does a single negative trial mean it is ineffective?	51
Standardising the role of a digital navigator in behavioural health: a systematic review	51
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	49
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	48
The promise of a model-based psychiatry: building computational models of mental ill health	48
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	48
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	48
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	48
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	47
Predicting seizure recurrence from medical records using large language models	46
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	44
Digital health equity for older populations	43
Digital therapy for depression in multiple sclerosis	43
The sky's the limit	43
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	42
Just in time: detecting cardiac arrest with smartwatch technology	42
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	42
Wearable technology and the cardiovascular system: the future of patient assessment	42
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	42
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	42
Data journalism and the COVID-19 pandemic: opportunities and challenges	42
Digital transformation of ovarian cancer diagnosis and care	42
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	42
Ethical and regulatory challenges of large language models in medicine	41
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	41
Correction to Lancet Digit Health 2021; 3: e577–86	41
Data solidarity: a blueprint for governing health futures	41
Automated external defibrillator drones and their role in emergency response	40
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	39
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	38
Challenges of AI-based pulmonary function estimation from chest x-rays	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	37
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	37
Artificial intelligence in medicine and the pursuit of environmentally responsible science	37
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	36
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	36
AI models in health care are not colour blind and we should not be either	36
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	36
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	36
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	36
Curbing the carbon footprint of health care	35
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	35
The potential for large language models to transform cardiovascular medicine	35
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	35
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	34
Twitter, public health, and misinformation	34
Artificial intelligence-driven cardiac amyloidosis screening	34
Effect of epileptic activity on outcome for critically ill patients	34
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	34
Wearable health data privacy	34
Correction to Lancet Digit Health 2023; 5: e404–20	33
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	33
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	33
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	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
Combating medical misinformation and rebuilding trust in the USA	32
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	32
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	32
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	31
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	31
Overcoming colonialism in pathogen genomics	31
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	30
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	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	30
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	30
Fairly evaluating the performance of normative models – Authors' reply	29
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	29
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	29
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply	29
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	29
Augmenting digital twins with federated learning in medicine	29
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	29
Taking responsibility for child safety online	28
Cardiology and big data: a call for papers	28
Pathology in the era of generative AI	27
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	27
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	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	27
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning	27
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	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
Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis	26
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	25
Screening for facial differences worldwide: equity and ethics	25
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	25
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study	25
Correction to Lancet Digit Health 2021; 3: e360–70	24
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	24
Crossing the frontier: the first global AI safety summit	24
Advances in decision support for diagnosis and early management of acute leukaemia	23
Mitigating the risk of artificial intelligence bias in cardiovascular care	23
Can AI technologies close the diagnostic gap in tuberculosis?	23
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	23
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	23
Health conditions linked to heightened risk of Alzheimer's disease	23
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	23
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	23
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	22
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands	22
Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study	22
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review	22
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study	22
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study	22
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis	22
Predicting peritoneal recurrence by artificial intelligence	21
Empowering women in health technology	21
Decentralised clinical trials: ethical opportunities and challenges	21
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study	21
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data	20
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2024	20
Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observationa	19
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	19
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	19
Vaccines for pregnant people: are we missing the forest for the trees?	19
A deep-learning-enabled diagnosis of ovarian cancer	19
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	18
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	18
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	18
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	18
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial	18
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	18
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	18
Correction to Lancet Digit Health 2021; 3: e697–706	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
Race representation matters in cancer care	17
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	17
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	16
Automated facial analysis of infant pain expressions: progress and future directions	16
Passive sensing at scale to transform understanding of poor mental health	16
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	16
Artificial intelligence and sexual health in the USA	16
The effect of using a large language model to respond to patient messages	15
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist	15
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	15
Clinical ground truth in machine learning for early sepsis diagnosis	15
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	15
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	15
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	14
Correction to Lancet Digit Health 2022; 4: e256–65	14
Using ChatGPT to write patient clinic letters	14
Medical artificial intelligence for clinicians: the lost cognitive perspective	14
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	13
Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study	13
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	13
AI recognition of patient race in medical imaging: a modelling study	13
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	13
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	13
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	13
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	13
Correction to Lancet Digit Health 2025; 7: e161–66	13
AI for mammography: making double screen-reading history	13
The impact of commercial health datasets on medical research and health-care algorithms	13
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	13
Remote general practitioner consultations during COVID-19	12
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply	12
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	12
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	11
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	11
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study	11
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	11
Treating type 2 diabetes: moving towards precision medicine	11
Improving community health-care screenings with smartphone-based AI technologies	11
Digital prehabilitation—a solution to resource shortages?	11
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics	11
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study	11
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	10
Paradox of telemedicine: building or neglecting trust and equity	10
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	10
Association between digital smart device use and myopia: a systematic review and meta-analysis	10
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	10
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	10
Data capture and sharing in the COVID-19 pandemic: a cause for concern	10