Lancet Digital Health

Papers
(The H4-Index of Lancet Digital Health is 65. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Retraction remedy: a resource for transparent science657
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?484
Correction to Lancet Digit Health 2023; 5: e446–57477
Correction to Lancet Digit Health 2024; 6: e791–802459
Accelerating action for gender equality in health422
Machine learning to predict type 1 diabetes in children362
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings323
Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models299
Balancing AI innovation with patient safety289
Targeting respiratory syncytial virus vaccination using individual prediction271
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply242
Technology for world elimination of neglected tropical diseases235
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies227
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world218
Challenges for augmenting intelligence in cardiac imaging180
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study164
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study153
ChatGPT: the future of discharge summaries?152
Health insights from face photographs151
Harnessing population-wide health data to predict cancer risk146
Fairly evaluating the performance of normative models144
Digital health funding for COVID-19 vaccine deployment across four major donor agencies139
Large language model integration in Philippine ophthalmology: early challenges and steps forward139
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 stud133
Decolonising health data131
AI-CAD for tuberculosis and other global high-burden diseases130
Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence128
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden127
Efficacy of standalone smartphone apps for mental health: an updated systematic review and meta-analysis114
Trust, not technology: governing access to health data as the decisive challenge for the UK113
Extending responsible artificial intelligence to palliative care: the irreversibility problem with algorithmic accountability112
A future role for health applications of large language models depends on regulators enforcing safety standards110
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study106
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study105
Synthetic data, synthetic trust: navigating data challenges in the digital revolution102
Towards a unified foundation model for medical imaging100
Ensuring the clinical impact of medical artificial intelligence100
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis98
Radiomics in neuro-oncological clinical trials97
A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges96
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 trial93
Thank you to The Lancet Digital Health's statistical and peer reviewers in 202286
Safe care from home for complicated pregnancies?84
A long STANDING commitment to improving health care82
Can electronic medical records predict neonatal seizures?82
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility81
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases81
US COVID-19 clinical trial leadership gender disparities79
The MAIDA initiative: establishing a framework for global medical-imaging data sharing77
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study76
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study76
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study76
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations75
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation74
Adolescent obesity in the digital age: navigating risks and opportunities74
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 intel74
A response to evaluating national data flows72
Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study71
AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study68
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis67
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service66
Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research65
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
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis65
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