OOIR: Observatory of International Research

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 2021-10-01 to 2025-10-01.)

Article	Citations
Targeting respiratory syncytial virus vaccination using individual prediction	830
Correction to Lancet Digit Health 2023; 5: e446–57	558
Correction to Lancet Digit Health 2024; 6: e791–802	428
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	356
Accelerating action for gender equality in health	314
Retraction remedy: a resource for transparent science	313
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	286
Technology for world elimination of neglected tropical diseases	285
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	237
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	232
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	215
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	212
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	206
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	193
Machine learning to predict type 1 diabetes in children	193
Balancing AI innovation with patient safety	187
ChatGPT: the future of discharge summaries?	179
Challenges for augmenting intelligence in cardiac imaging	170
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	167
AI-CAD for tuberculosis and other global high-burden diseases	162
Decolonising health data	161
Large language model integration in Philippine ophthalmology: early challenges and steps forward	159
Health insights from face photographs	154
Harnessing population-wide health data to predict cancer risk	146
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	136

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	134
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	132
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	128
A future role for health applications of large language models depends on regulators enforcing safety standards	127
Fairly evaluating the performance of normative models	119
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	118
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	117
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	114
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	112
Can electronic medical records predict neonatal seizures?	111
US COVID-19 clinical trial leadership gender disparities	110
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	110
Safe care from home for complicated pregnancies?	109
A long STANDING commitment to improving health care	109
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	108
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	108
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 trial	106
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	93
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	89
Radiomics in neuro-oncological clinical trials	89
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	88
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	88
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	84
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	80
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	78
Forging the tools for a computer-aided workflow in transplant pathology	78
A response to evaluating national data flows	76
Moving forward with machine learning models in acute chest pain	73
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	71
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	71
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	71
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	70
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	70
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	68
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	68
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	67
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	67
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	65
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	65