Lancet Digital Health

Article	Citations
Retraction remedy: a resource for transparent science	657
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	484
Correction to Lancet Digit Health 2023; 5: e446–57	477
Correction to Lancet Digit Health 2024; 6: e791–802	459
Accelerating action for gender equality in health	422
Machine learning to predict type 1 diabetes in children	362
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	323
Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models	299
Balancing AI innovation with patient safety	289
Targeting respiratory syncytial virus vaccination using individual prediction	271
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	242
Technology for world elimination of neglected tropical diseases	235
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	227
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	218
Challenges for augmenting intelligence in cardiac imaging	180
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	164
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	153
ChatGPT: the future of discharge summaries?	152
Health insights from face photographs	151
Harnessing population-wide health data to predict cancer risk	146
Fairly evaluating the performance of normative models	144
Large language model integration in Philippine ophthalmology: early challenges and steps forward	139
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	139
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	133
Decolonising health data	131

AI-CAD for tuberculosis and other global high-burden diseases	130
Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence	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	127
Efficacy of standalone smartphone apps for mental health: an updated systematic review and meta-analysis	114
Trust, not technology: governing access to health data as the decisive challenge for the UK	113
Extending responsible artificial intelligence to palliative care: the irreversibility problem with algorithmic accountability	112
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	106
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	105
Synthetic data, synthetic trust: navigating data challenges in the digital revolution	102
Towards a unified foundation model for medical imaging	100
Ensuring the clinical impact of medical artificial intelligence	100
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	98
Radiomics in neuro-oncological clinical trials	97
A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges	96
Virtual reality-based cognitive remediation versus virtual reality control in people with mood or psychosis spectrum disorders in Denmark: a single-centre, double-blind, randomised controlled trial	93
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	86
Safe care from home for complicated pregnancies?	84
A long STANDING commitment to improving health care	82
Can electronic medical records predict neonatal seizures?	82
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility	81
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	81
US COVID-19 clinical trial leadership gender disparities	79
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	77
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	76
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	76
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	76
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	75
Adolescent obesity in the digital age: navigating risks and opportunities	74
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	74
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	74
A response to evaluating national data flows	72
Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study	71
AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study	68
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	67
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	66
Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research	65
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	65
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	65
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	64
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England	63
RareArena: a comprehensive benchmark dataset unveiling the potential of large language models in rare disease diagnosis	63
Large language models and the mental health crisis	63
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	61
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	60
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	59
Navigating the promise and pitfalls of dashboards in health policy decision making: experiences from Ghana, India, and South Africa	58
5 years of The Lancet Digital Health	57
Correction to Lancet Digit Health 2024; 6: e562–69	57

Correction to Lancet Digit Health 2022; 4: e497–506	57
Reappraising screening metrics and methodological considerations in artificial intelligence-augmented mammography	56
Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational st	56
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	56
Machine learning COVID-19 detection from wearables	56
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	55
From text to treatment: the crucial role of validation for generative large language models in health care	54
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	53
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	53
Value of artificial intelligence in neuro-oncology	53
Effects of the COVID-19 pandemic on antibiotic use and resistance in French hospitals, 2019–22: a retrospective ecological analysis of national surveillance data	53
AI for medical diagnosis: does a single negative trial mean it is ineffective?	52
The promise of a model-based psychiatry: building computational models of mental ill health	52
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	51
Standardising the role of a digital navigator in behavioural health: a systematic review	51
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	50
Correction to Lancet Digital Health 2025; 7: 100882	49
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	49
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	49
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	48
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	48
Digital therapy for depression in multiple sclerosis	47
Predicting seizure recurrence from medical records using large language models	47
The Jevons Paradox in global health: efficiency, demand, and the AI dilemma	46
Digital transformation of ovarian cancer diagnosis and care	46
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	45
Just in time: detecting cardiac arrest with smartwatch technology	45
When to and when not to use machine learning in risk prediction models	45
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	43
Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study	43
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	43
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	42
Ethical and regulatory challenges of large language models in medicine	42
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	42
Wearable technology and the cardiovascular system: the future of patient assessment	42
Data solidarity: a blueprint for governing health futures	42
Automated external defibrillator drones and their role in emergency response	42
Digital health equity for older populations	42
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility	40
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	40
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	40
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	40
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
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer	39
Artificial intelligence in medicine and the pursuit of environmentally responsible science	39
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	38
Challenges of AI-based pulmonary function estimation from chest x-rays	38
The potential for large language models to transform cardiovascular medicine	38
Curbing the carbon footprint of health care	38
Can large language models help young researchers develop new clinical research ideas?	38
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	38
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	37
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
Effect of epileptic activity on outcome for critically ill patients	36
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	36
Artificial intelligence-driven cardiac amyloidosis screening	36
Reflecting on lived experience expertise in digital mental health research	36
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	35
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	35
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	35
An online singing-based breathing and wellbeing programme (ENO Breathe) in people with long COVID breathlessness in the UK: a cohort study	34
Twitter, public health, and misinformation	34
Wearable health data privacy	34
The architectural gap in clinical artificial intelligence	34
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	33
Correction to Lancet Digit Health 2023; 5: e404–20	33
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	33
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	32
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	32
Artificial intelligence for post-treatment prediction in age-related macular degeneration	31
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	31
Overcoming colonialism in pathogen genomics	31
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	31
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	31
Thank you to The Lancet Digital Health statistical and peer reviewers in 2025	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
The global Dx AMR collaborative: an approach to strengthen the role of diagnostics in combating antimicrobial resistance	28
Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study	28
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	28
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	28

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	28
How can artificial intelligence transform the training of medical students and physicians?	28
Combating medical misinformation and rebuilding trust in the USA	28
Smartwatch-derived versus self-reported outcomes of physiological recovery after COVID-19, influenza, and group A streptococcus: a 2-year prospective cohort study	28
Independent and openly reported head-to-head comparative validation studies of AI medical devices: a necessary step towards safe and responsible clinical AI deployment	28
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	26
Pathology in the era of generative AI	26
Artificial intelligence and tumour-infiltrating lymphocytes in breast cancer: bridging innovation and feasibility towards clinical utility	26
Augmenting digital twins with federated learning in medicine	26
Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning	26
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	26
Taking responsibility for child safety online	25
Fairly evaluating the performance of normative models – Authors' reply	25
Multiomics single timepoint measurements to predict severe COVID-19 – Authors' reply	25
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial	25
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	24
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	24
Crossing the frontier: the first global AI safety summit	24
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	24
Deception in clinical large language models: an under-recognised safety risk	23
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	23
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	23
Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis	23
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study	23
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study	23
Equity in virtual urgent care: lessons from health system-based models	22
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	22
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis	22
Advances in decision support for diagnosis and early management of acute leukaemia	21
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	21
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review	21
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study	21
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands	21
Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study	21
Mitigating the risk of artificial intelligence bias in cardiovascular care	21
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2024	20
The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study	20
Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study	20
Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis	19
Reproductive health data must be part of the UK's Health Data Research Service	19
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	19
Digital demands for chronic disease research and management	19
Leveraging digital technologies to reduce cancer disparities in low-income and middle-income countries	19
Decentralised clinical trials: ethical opportunities and challenges	18
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study	18
Vaccines for pregnant people: are we missing the forest for the trees?	18
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	18
A deep-learning-enabled diagnosis of ovarian cancer	17
Beyond artificial intelligence psychosis: a functional typology of large language model-associated psychotic phenomena	17
Effects of large language model-generated, patient-oriented discharge summaries on patient activation: a single-centre, single-blind, randomised controlled trial in Germany	17
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	17
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	17
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	16
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	16
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	16
MerMED-FM: Multimodal, Multi-Disease Medical Imaging Foundation Model	16
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	16
Clinical ground truth in machine learning for early sepsis diagnosis	15
Agentic artificial intelligence in eye care: is clinical autonomy finally within reach?	15
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	15
Passive sensing at scale to transform understanding of poor mental health	15
Preserving the integrity of clinical trials	15
The effect of using a large language model to respond to patient messages	15
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	15
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	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	14
Correction to Lancet Digit Health 2025; 7: e161–66	14
Medical artificial intelligence for clinicians: the lost cognitive perspective	14
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	14
Using ChatGPT to write patient clinic letters	14
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	14
Transforming women's health, empowerment, and gender equality with digital health: evidence-based policy and practice	14
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
AI for mammography: making double screen-reading history	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
Computer-aided reading of chest radiographs for paediatric tuberculosis: current status and future directions	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
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	13
The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort 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	12
Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply	12
Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: a retrospective cohort study	12
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	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
The impact of commercial health datasets on medical research and health-care algorithms	12
Digital prehabilitation—a solution to resource shortages?	12
Treating type 2 diabetes: moving towards precision medicine	12
Enhancing the success of IVF with artificial intelligence	11
Development and validation of a composite digital balance score for spinocerebellar ataxia: a prospective study	11
Correction to Lancet Digit Health 2024; 6: e281–90	11
Equitable precision medicine for type 2 diabetes	11
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance	11
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study	11
Crowdsourced predictions for emerging infectious diseases	11