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 2022-08-01 to 2026-08-01.)

Article	Citations
Retraction remedy: a resource for transparent science	657
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	484
Correction to Lancet Digit Health 2023; 5: e446–57	477
Correction to Lancet Digit Health 2024; 6: e791–802	459
Accelerating action for gender equality in health	422
Machine learning to predict type 1 diabetes in children	362
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	323
Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models	299
Balancing AI innovation with patient safety	289
Targeting respiratory syncytial virus vaccination using individual prediction	271
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	242
Technology for world elimination of neglected tropical diseases	235
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	227
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	218
Challenges for augmenting intelligence in cardiac imaging	180
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	164
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	153
ChatGPT: the future of discharge summaries?	152
Health insights from face photographs	151
Harnessing population-wide health data to predict cancer risk	146
Fairly evaluating the performance of normative models	144
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	139
Large language model integration in Philippine ophthalmology: early challenges and steps forward	139
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	133
Decolonising health data	131

AI-CAD for tuberculosis and other global high-burden diseases	130
Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence	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	127
Efficacy of standalone smartphone apps for mental health: an updated systematic review and meta-analysis	114
Trust, not technology: governing access to health data as the decisive challenge for the UK	113
Extending responsible artificial intelligence to palliative care: the irreversibility problem with algorithmic accountability	112
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	106
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	105
Synthetic data, synthetic trust: navigating data challenges in the digital revolution	102
Towards a unified foundation model for medical imaging	100
Ensuring the clinical impact of medical artificial intelligence	100
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	98
Radiomics in neuro-oncological clinical trials	97
A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges	96
Virtual reality-based cognitive remediation versus virtual reality control in people with mood or psychosis spectrum disorders in Denmark: a single-centre, double-blind, randomised controlled trial	93
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	86
Safe care from home for complicated pregnancies?	84
Can electronic medical records predict neonatal seizures?	82
A long STANDING commitment to improving health care	82
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	81
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility	81
US COVID-19 clinical trial leadership gender disparities	79
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	77
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	76
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	76
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	76
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	75
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	74
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	74
Adolescent obesity in the digital age: navigating risks and opportunities	74
A response to evaluating national data flows	72
Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study	71
AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study	68
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	67
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	67
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	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
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	65
Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research	65
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	64
Large language models and the mental health crisis	63
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England	63
RareArena: a comprehensive benchmark dataset unveiling the potential of large language models in rare disease diagnosis	63
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	61
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	60
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	59
Navigating the promise and pitfalls of dashboards in health policy decision making: experiences from Ghana, India, and South Africa	58
Correction to Lancet Digit Health 2022; 4: e497–506	57
5 years of The Lancet Digital Health	57

Correction to Lancet Digit Health 2024; 6: e562–69	57
Machine learning COVID-19 detection from wearables	56
Reappraising screening metrics and methodological considerations in artificial intelligence-augmented mammography	56
Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational st	56
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	56
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	55
From text to treatment: the crucial role of validation for generative large language models in health care	54
Value of artificial intelligence in neuro-oncology	53
Effects of the COVID-19 pandemic on antibiotic use and resistance in French hospitals, 2019–22: a retrospective ecological analysis of national surveillance data	53
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	53
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	53
AI for medical diagnosis: does a single negative trial mean it is ineffective?	52
The promise of a model-based psychiatry: building computational models of mental ill health	52
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	51
Standardising the role of a digital navigator in behavioural health: a systematic review	51
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	50
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	49
Correction to Lancet Digital Health 2025; 7: 100882	49
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	49
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	48
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	48
Predicting seizure recurrence from medical records using large language models	47
Digital therapy for depression in multiple sclerosis	47
Digital transformation of ovarian cancer diagnosis and care	46
The Jevons Paradox in global health: efficiency, demand, and the AI dilemma	46
When to and when not to use machine learning in risk prediction models	45
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	45
Just in time: detecting cardiac arrest with smartwatch technology	45
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	43
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	43
Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study	43
Automated external defibrillator drones and their role in emergency response	42
Digital health equity for older populations	42
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	42
Ethical and regulatory challenges of large language models in medicine	42
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	42
Wearable technology and the cardiovascular system: the future of patient assessment	42
Data solidarity: a blueprint for governing health futures	42
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	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
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	40
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility	40
Artificial intelligence in medicine and the pursuit of environmentally responsible science	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
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer	39
Can large language models help young researchers develop new clinical research ideas?	38
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
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	38
Challenges of AI-based pulmonary function estimation from chest x-rays	38
The potential for large language models to transform cardiovascular medicine	38
Curbing the carbon footprint of health care	38
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	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
Artificial intelligence-driven cardiac amyloidosis screening	36
Reflecting on lived experience expertise in digital mental health research	36
Effect of epileptic activity on outcome for critically ill patients	36
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	36
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	35
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	35
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	35
The architectural gap in clinical artificial intelligence	34
An online singing-based breathing and wellbeing programme (ENO Breathe) in people with long COVID breathlessness in the UK: a cohort study	34
Twitter, public health, and misinformation	34
Wearable health data privacy	34