OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 30. 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.)

Article	Citations
Can technology increase COVID-19 vaccination rates?	673
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	487
Correction to Lancet Digit Health 2023; 5: e446–57	378
Correction to Lancet Digit Health 2024; 6: e791–802	364
Balancing AI innovation with patient safety	294
Accelerating action for gender equality in health	271
Targeting respiratory syncytial virus vaccination using individual prediction	252
Technology for world elimination of neglected tropical diseases	214
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	193
Retraction remedy: a resource for transparent science	192
Challenges for augmenting intelligence in cardiac imaging	188
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	187
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	187
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	186
Machine learning to predict type 1 diabetes in children	185
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	175
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	174
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	157
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	156
ChatGPT: the future of discharge summaries?	155
Fairly evaluating the performance of normative models	145
AI-CAD for tuberculosis and other global high-burden diseases	145
Big data, artificial intelligence, and the opioid crisis	138
Decolonising health data	138
Harnessing population-wide health data to predict cancer risk	135

Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	135
Large language model integration in Philippine ophthalmology: early challenges and steps forward	129
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 bip	128
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	126
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	122
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	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	111
A future role for health applications of large language models depends on regulators enforcing safety standards	109
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	107
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	103
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	103
Can electronic medical records predict neonatal seizures?	99
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	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 trial	97
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	97
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	95
Radiomics in neuro-oncological clinical trials	95
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	94
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	93
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	91
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	88
US COVID-19 clinical trial leadership gender disparities	87
A long STANDING commitment to improving health care	86
Safe care from home for complicated pregnancies?	83
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	81
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	80
Health information technology and digital innovation for national learning health and care systems	76
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	76
Forging the tools for a computer-aided workflow in transplant pathology	74
A response to evaluating national data flows	72
Moving forward with machine learning models in acute chest pain	72
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	71
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	70
Continual learning in medical devices: FDA's action plan and beyond	70
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	68
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	62
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	62
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	61
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	60
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	60
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	59
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	59
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	58
Correction to Lancet Digit Health 2021; 3: e317–29	58
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	57
Correction to Lancet Digit Health 2022; 4: e497–506	57
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	57
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	56
Correction to Lancet Digit Health 2024; 6: e562–69	56

From text to treatment: the crucial role of validation for generative large language models in health care	55
5 years of The Lancet Digital Health	54
Machine learning COVID-19 detection from wearables	54
Standardising the role of a digital navigator in behavioural health: a systematic review	51
AI for medical diagnosis: does a single negative trial mean it is ineffective?	51
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	49
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	48
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	48
The promise of a model-based psychiatry: building computational models of mental ill health	48
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	48
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	48
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	47
Predicting seizure recurrence from medical records using large language models	46
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	44
The sky's the limit	43
Digital health equity for older populations	43
Digital therapy for depression in multiple sclerosis	43
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	42
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	42
Data journalism and the COVID-19 pandemic: opportunities and challenges	42
Digital transformation of ovarian cancer diagnosis and care	42
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	42
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	42
Just in time: detecting cardiac arrest with smartwatch technology	42
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	42
Wearable technology and the cardiovascular system: the future of patient assessment	42
Data solidarity: a blueprint for governing health futures	41
Ethical and regulatory challenges of large language models in medicine	41
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	41
Correction to Lancet Digit Health 2021; 3: e577–86	41
Automated external defibrillator drones and their role in emergency response	40
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	39
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	38
Challenges of AI-based pulmonary function estimation from chest x-rays	38
Artificial intelligence in medicine and the pursuit of environmentally responsible science	37
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	37
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	37
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	36
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	36
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	36
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	36
AI models in health care are not colour blind and we should not be either	36
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	36
The potential for large language models to transform cardiovascular medicine	35
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	35
Curbing the carbon footprint of health care	35
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	35
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	34
Wearable health data privacy	34
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	34
Twitter, public health, and misinformation	34
Artificial intelligence-driven cardiac amyloidosis screening	34
Effect of epileptic activity on outcome for critically ill patients	34
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	33
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	33
Correction to Lancet Digit Health 2023; 5: e404–20	33
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	32
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	32
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	32
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	32
Combating medical misinformation and rebuilding trust in the USA	32
Overcoming colonialism in pathogen genomics	31
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	31
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	31
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	30
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	30
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	30
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	30