OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 32. 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 2021-08-01 to 2025-08-01.)

Article	Citations
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	751
Correction to Lancet Digit Health 2023; 5: e446–57	529
Correction to Lancet Digit Health 2024; 6: e791–802	408
Accelerating action for gender equality in health	332
Targeting respiratory syncytial virus vaccination using individual prediction	295
Retraction remedy: a resource for transparent science	290
Technology for world elimination of neglected tropical diseases	257
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	249
Machine learning to predict type 1 diabetes in children	222
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	217
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	212
Challenges for augmenting intelligence in cardiac imaging	203
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	198
Balancing AI innovation with patient safety	196
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	190
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	182
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	175
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	175
ChatGPT: the future of discharge summaries?	167
AI-CAD for tuberculosis and other global high-burden diseases	158
Decolonising health data	157
Harnessing population-wide health data to predict cancer risk	154
Large language model integration in Philippine ophthalmology: early challenges and steps forward	152
Health insights from face photographs	149
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	146

Digital health funding for COVID-19 vaccine deployment across four major donor agencies	146
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	132
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	123
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	122
Fairly evaluating the performance of normative models	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	115
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	114
A future role for health applications of large language models depends on regulators enforcing safety standards	110
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	109
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	107
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	106
Can electronic medical records predict neonatal seizures?	106
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	106
A long STANDING commitment to improving health care	103
US COVID-19 clinical trial leadership gender disparities	103
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	103
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	102
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	102
Safe care from home for complicated pregnancies?	102
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	101
Radiomics in neuro-oncological clinical trials	100
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	99
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	86
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	85
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	85
Forging the tools for a computer-aided workflow in transplant pathology	81
A response to evaluating national data flows	78
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	75
Moving forward with machine learning models in acute chest pain	75
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	74
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	73
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	71
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	70
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	67
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	67
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	66
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	66
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	66
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	66
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	65
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	65
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	64
Correction to Lancet Digit Health 2024; 6: e562–69	62
Correction to Lancet Digit Health 2022; 4: e497–506	62
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	61
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	60
The promise of a model-based psychiatry: building computational models of mental ill health	59
AI for medical diagnosis: does a single negative trial mean it is ineffective?	59
5 years of The Lancet Digital Health	57
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	57

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	56
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	55
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	55
Machine learning COVID-19 detection from wearables	55
From text to treatment: the crucial role of validation for generative large language models in health care	54
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	54
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	54
Standardising the role of a digital navigator in behavioural health: a systematic review	52
The sky's the limit	50
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	50
Digital therapy for depression in multiple sclerosis	50
Predicting seizure recurrence from medical records using large language models	48
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	48
Just in time: detecting cardiac arrest with smartwatch technology	47
Data journalism and the COVID-19 pandemic: opportunities and challenges	47
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	46
Wearable technology and the cardiovascular system: the future of patient assessment	45
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	45
Data solidarity: a blueprint for governing health futures	45
Digital health equity for older populations	45
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	45
Digital transformation of ovarian cancer diagnosis and care	45
Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study	45
Ethical and regulatory challenges of large language models in medicine	44
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	44
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	44
Correction to Lancet Digit Health 2021; 3: e577–86	44
Challenges of AI-based pulmonary function estimation from chest x-rays	43
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	43
AI models in health care are not colour blind and we should not be either	43
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	43
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	43
Curbing the carbon footprint of health care	41
Simple meal announcements and pramlintide delivery versus carbohydrate counting in type 1 diabetes with automated fast-acting insulin aspart delivery: a randomised crossover trial in Montreal, Canada	41
Artificial intelligence in medicine and the pursuit of environmentally responsible science	40
Automated external defibrillator drones and their role in emergency response	40
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	39
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	39
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	39
The potential for large language models to transform cardiovascular medicine	39
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals	39
Menstrual irregularities and vaginal bleeding after COVID-19 vaccination reported to v-safe active surveillance, USA in December, 2020–January, 2022: an observational cohort study	39
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	39
Effect of epileptic activity on outcome for critically ill patients	38
Artificial intelligence-driven cardiac amyloidosis screening	38
Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial	38
Twitter, public health, and misinformation	38
Wearable health data privacy	37
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	37
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	37
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	37
Correction to Lancet Digit Health 2023; 5: e404–20	37
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	37
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	37
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	37
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	35
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	35
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	35
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	35
Risk of acute respiratory infection and acute cardiovascular events following acute respiratory infection among adults with increased cardiovascular risk in England between 2008 and 2018: a retrospect	35
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	35
Overcoming colonialism in pathogen genomics	34
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	33
Augmenting digital twins with federated learning in medicine	32
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	32
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	32
Combating medical misinformation and rebuilding trust in the USA	32
Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study	32