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 2021-09-01 to 2025-09-01.)
ArticleCitations
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply789
Correction to Lancet Digit Health 2023; 5: e446–57539
Correction to Lancet Digit Health 2024; 6: e791–802422
Accelerating action for gender equality in health340
Targeting respiratory syncytial virus vaccination using individual prediction306
Retraction remedy: a resource for transparent science304
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?271
Machine learning to predict type 1 diabetes in children268
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis228
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings226
Balancing AI innovation with patient safety216
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study209
Challenges for augmenting intelligence in cardiac imaging205
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study203
Technology for world elimination of neglected tropical diseases193
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis184
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies182
ChatGPT: the future of discharge summaries?177
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world175
AI-CAD for tuberculosis and other global high-burden diseases162
Decolonising health data160
Harnessing population-wide health data to predict cancer risk158
Health insights from face photographs154
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 stud152
Building an evidence standards framework for artificial intelligence-enabled digital health technologies149
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study138
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum131
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden128
Large language model integration in Philippine ophthalmology: early challenges and steps forward126
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study118
Fairly evaluating the performance of normative models117
Digital health funding for COVID-19 vaccine deployment across four major donor agencies115
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis115
A future role for health applications of large language models depends on regulators enforcing safety standards113
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022111
US COVID-19 clinical trial leadership gender disparities109
Can electronic medical records predict neonatal seizures?109
A long STANDING commitment to improving health care108
Safe care from home for complicated pregnancies?107
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases106
The MAIDA initiative: establishing a framework for global medical-imaging data sharing106
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 trial105
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study104
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation104
Radiomics in neuro-oncological clinical trials87
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations86
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 intel85
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study85
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study79
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study78
Forging the tools for a computer-aided workflow in transplant pathology78
A response to evaluating national data flows75
Moving forward with machine learning models in acute chest pain75
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health72
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis69
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study67
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study67
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service67
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study67
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis66
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 Biobank65
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study64
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