Lancet Digital Health

Papers
(The H4-Index of Lancet Digital Health is 62. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Can technology increase COVID-19 vaccination rates?673
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply487
Correction to Lancet Digit Health 2023; 5: e446–57378
Correction to Lancet Digit Health 2024; 6: e791–802364
Balancing AI innovation with patient safety294
Accelerating action for gender equality in health271
Targeting respiratory syncytial virus vaccination using individual prediction252
Technology for world elimination of neglected tropical diseases214
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings193
Retraction remedy: a resource for transparent science192
Challenges for augmenting intelligence in cardiac imaging188
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study187
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 study186
Machine learning to predict type 1 diabetes in children185
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies175
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis174
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis157
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world156
ChatGPT: the future of discharge summaries?155
Fairly evaluating the performance of normative models145
AI-CAD for tuberculosis and other global high-burden diseases145
Big data, artificial intelligence, and the opioid crisis138
Decolonising health data138
Harnessing population-wide health data to predict cancer risk135
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis135
Large language model integration in Philippine ophthalmology: early challenges and steps forward129
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 bip128
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden126
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum122
Digital health funding for COVID-19 vaccine deployment across four major donor agencies117
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study111
A future role for health applications of large language models depends on regulators enforcing safety standards109
Building an evidence standards framework for artificial intelligence-enabled digital health technologies107
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 stud103
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study103
Thank you to The Lancet Digital Health's statistical and peer reviewers in 202299
Can electronic medical records predict neonatal seizures?99
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 trial97
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations97
Radiomics in neuro-oncological clinical trials95
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study95
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study94
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 intel93
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases91
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study88
US COVID-19 clinical trial leadership gender disparities87
A long STANDING commitment to improving health care86
Safe care from home for complicated pregnancies?83
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation81
The MAIDA initiative: establishing a framework for global medical-imaging data sharing80
Health information technology and digital innovation for national learning health and care systems76
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study76
Forging the tools for a computer-aided workflow in transplant pathology74
A response to evaluating national data flows72
Moving forward with machine learning models in acute chest pain72
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health71
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study70
Continual learning in medical devices: FDA's action plan and beyond70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis68
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study62
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan62
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