Lancet Digital Health

Papers
(The H4-Index of Lancet Digital Health is 64. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Targeting respiratory syncytial virus vaccination using individual prediction869
Correction to Lancet Digit Health 2023; 5: e446–57569
Correction to Lancet Digit Health 2024; 6: e791–802435
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply365
Accelerating action for gender equality in health331
Retraction remedy: a resource for transparent science321
Technology for world elimination of neglected tropical diseases307
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study298
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies243
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?241
Machine learning to predict type 1 diabetes in children223
Balancing AI innovation with patient safety216
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study209
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world203
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings201
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis193
Challenges for augmenting intelligence in cardiac imaging181
ChatGPT: the future of discharge summaries?171
AI-CAD for tuberculosis and other global high-burden diseases171
Decolonising health data170
Health insights from face photographs168
Harnessing population-wide health data to predict cancer risk162
Digital health funding for COVID-19 vaccine deployment across four major donor agencies155
Large language model integration in Philippine ophthalmology: early challenges and steps forward154
Fairly evaluating the performance of normative models150
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis145
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum140
Building an evidence standards framework for artificial intelligence-enabled digital health technologies138
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study132
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden124
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study122
A future role for health applications of large language models depends on regulators enforcing safety standards121
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 stud119
Can electronic medical records predict neonatal seizures?118
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study117
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022117
US COVID-19 clinical trial leadership gender disparities115
A long STANDING commitment to improving health care113
Safe care from home for complicated pregnancies?112
The MAIDA initiative: establishing a framework for global medical-imaging data sharing109
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases109
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations96
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation95
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 intel94
Radiomics in neuro-oncological clinical trials90
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study90
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 trial86
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study84
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study83
Moving forward with machine learning models in acute chest pain82
A response to evaluating national data flows82
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health80
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study75
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service75
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan74
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study74
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis74
Forging the tools for a computer-aided workflow in transplant pathology73
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study72
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis71
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 Biobank69
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study66
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis66
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials65
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply64
Correction to Lancet Digit Health 2024; 6: e562–6964
Correction to Lancet Digit Health 2022; 4: e497–50664
A machine learning-based screening tool for genetic syndromes in children – Authors' reply64
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