OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 34. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Targeting respiratory syncytial virus vaccination using individual prediction	869
Correction to Lancet Digit Health 2023; 5: e446–57	569
Correction to Lancet Digit Health 2024; 6: e791–802	435
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	365
Accelerating action for gender equality in health	331
Retraction remedy: a resource for transparent science	321
Technology for world elimination of neglected tropical diseases	307
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	298
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	243
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	241
Machine learning to predict type 1 diabetes in children	223
Balancing AI innovation with patient safety	216
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	209
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	203
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	201
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	193
Challenges for augmenting intelligence in cardiac imaging	181
AI-CAD for tuberculosis and other global high-burden diseases	171
ChatGPT: the future of discharge summaries?	171
Decolonising health data	170
Health insights from face photographs	168
Harnessing population-wide health data to predict cancer risk	162
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	155
Large language model integration in Philippine ophthalmology: early challenges and steps forward	154
Fairly evaluating the performance of normative models	150

Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	145
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	140
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	138
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	132
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	124
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	122
A future role for health applications of large language models depends on regulators enforcing safety standards	121
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	119
Can electronic medical records predict neonatal seizures?	118
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	117
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	117
US COVID-19 clinical trial leadership gender disparities	115
A long STANDING commitment to improving health care	113
Safe care from home for complicated pregnancies?	112
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	109
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	109
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	96
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	95
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	94
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	90
Radiomics in neuro-oncological clinical trials	90
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	86
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	84
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	83
A response to evaluating national data flows	82
Moving forward with machine learning models in acute chest pain	82
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	80
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	75
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	75
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	74
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	74
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	74
Forging the tools for a computer-aided workflow in transplant pathology	73
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	72
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	71
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	69
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	66
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	65
Correction to Lancet Digit Health 2022; 4: e497–506	64
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	64
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	64
Correction to Lancet Digit Health 2024; 6: e562–69	64
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	62
5 years of The Lancet Digital Health	62
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	60
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	58
Standardising the role of a digital navigator in behavioural health: a systematic review	56
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	55
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	55

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	54
The promise of a model-based psychiatry: building computational models of mental ill health	54
From text to treatment: the crucial role of validation for generative large language models in health care	53
Value of artificial intelligence in neuro-oncology	53
AI for medical diagnosis: does a single negative trial mean it is ineffective?	53
The sky's the limit	52
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	52
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	52
Machine learning COVID-19 detection from wearables	52
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	52
Digital therapy for depression in multiple sclerosis	51
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	51
Predicting seizure recurrence from medical records using large language models	51
Just in time: detecting cardiac arrest with smartwatch technology	49
Digital transformation of ovarian cancer diagnosis and care	49
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	48
Wearable technology and the cardiovascular system: the future of patient assessment	48
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	48
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	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	47
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	46
Ethical and regulatory challenges of large language models in medicine	46
Digital health equity for older populations	46
Data solidarity: a blueprint for governing health futures	46
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	45
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	45
Challenges of AI-based pulmonary function estimation from chest x-rays	45
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	44
Automated external defibrillator drones and their role in emergency response	43
Curbing the carbon footprint of health care	43
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	42
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	42
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	42
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	42
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	42
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	42
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	42
Artificial intelligence in medicine and the pursuit of environmentally responsible science	41
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	41
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	40
AI models in health care are not colour blind and we should not be either	40
Effect of epileptic activity on outcome for critically ill patients	40
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	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
Twitter, public health, and misinformation	40
Wearable health data privacy	40
The potential for large language models to transform cardiovascular medicine	40
Artificial intelligence-driven cardiac amyloidosis screening	40
Correction to Lancet Digit Health 2023; 5: e404–20	39
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	39
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	39
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	38
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	38
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	38
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	38
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	37
How can artificial intelligence transform the training of medical students and physicians?	37
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	37
Overcoming colonialism in pathogen genomics	37
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	36
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	34
Augmenting digital twins with federated learning in medicine	34
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	34