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 2021-09-01 to 2025-09-01.)

Article	Citations
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	789
Correction to Lancet Digit Health 2023; 5: e446–57	539
Correction to Lancet Digit Health 2024; 6: e791–802	422
Accelerating action for gender equality in health	340
Targeting respiratory syncytial virus vaccination using individual prediction	306
Retraction remedy: a resource for transparent science	304
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 children	268
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	228
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	226
Balancing AI innovation with patient safety	216
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	209
Challenges for augmenting intelligence in cardiac imaging	205
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	203
Technology for world elimination of neglected tropical diseases	193
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	184
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	182
ChatGPT: the future of discharge summaries?	177
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	175
AI-CAD for tuberculosis and other global high-burden diseases	162
Decolonising health data	160
Harnessing population-wide health data to predict cancer risk	158
Health insights from face photographs	154
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	152
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	149

Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	138
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	131
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	128
Large language model integration in Philippine ophthalmology: early challenges and steps forward	126
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	118
Fairly evaluating the performance of normative models	117
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	115
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	115
A future role for health applications of large language models depends on regulators enforcing safety standards	113
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	111
Can electronic medical records predict neonatal seizures?	109
US COVID-19 clinical trial leadership gender disparities	109
A long STANDING commitment to improving health care	108
Safe care from home for complicated pregnancies?	107
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	106
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	106
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	105
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	104
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	104
Radiomics in neuro-oncological clinical trials	87
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	86
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	85
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	85
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	79
Forging the tools for a computer-aided workflow in transplant pathology	78
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	78
A response to evaluating national data flows	75
Moving forward with machine learning models in acute chest pain	75
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	72
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	69
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	67
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	67
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	67
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	67
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	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	65
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	64
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	63
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	63
Correction to Lancet Digit Health 2022; 4: e497–506	62
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	62
Correction to Lancet Digit Health 2024; 6: e562–69	62
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	61
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	61
Value of artificial intelligence in neuro-oncology	59
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	58
AI for medical diagnosis: does a single negative trial mean it is ineffective?	57
5 years of The Lancet Digital Health	57

Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	56
Machine learning COVID-19 detection from wearables	56
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	56
From text to treatment: the crucial role of validation for generative large language models in health care	54
The promise of a model-based psychiatry: building computational models of mental ill health	52
Standardising the role of a digital navigator in behavioural health: a systematic review	52
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	51
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	50
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	50
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	50
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	49
The sky's the limit	47
Digital therapy for depression in multiple sclerosis	47
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	46
Digital health equity for older populations	46
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	46
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	46
Just in time: detecting cardiac arrest with smartwatch technology	46
Predicting seizure recurrence from medical records using large language models	46
Data journalism and the COVID-19 pandemic: opportunities and challenges	45
Ethical and regulatory challenges of large language models in medicine	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
Data solidarity: a blueprint for governing health futures	45
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	45
Digital transformation of ovarian cancer diagnosis and care	45
Wearable technology and the cardiovascular system: the future of patient assessment	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
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	42
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	42
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	42
Curbing the carbon footprint of health care	41
AI models in health care are not colour blind and we should not be either	41
The potential for large language models to transform cardiovascular medicine	40
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	40
Automated external defibrillator drones and their role in emergency response	40
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	40
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	40
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	40
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	40
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	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
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	38
Artificial intelligence-driven cardiac amyloidosis screening	38
Effect of epileptic activity on outcome for critically ill patients	38
Artificial intelligence in medicine and the pursuit of environmentally responsible science	38
Twitter, public health, and misinformation	38
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	37
Wearable health data privacy	37
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	37
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	37
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	37
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	36
Correction to Lancet Digit Health 2023; 5: e404–20	36
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	35
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	35
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	35
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	35
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	35
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	35
Overcoming colonialism in pathogen genomics	33
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	33
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	32
Combating medical misinformation and rebuilding trust in the USA	32