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

Article	Citations
Correction to Lancet Digit Health 2024; 6: e791–802	587
Accelerating action for gender equality in health	449
Retraction remedy: a resource for transparent science	395
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	357
Machine learning to predict type 1 diabetes in children	341
Balancing AI innovation with patient safety	331
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	330
Correction to Lancet Digit Health 2023; 5: e446–57	261
Technology for world elimination of neglected tropical diseases	261
Targeting respiratory syncytial virus vaccination using individual prediction	235
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	225
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	216
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	204
Challenges for augmenting intelligence in cardiac imaging	189
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	184
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	182
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	181
Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models	178
ChatGPT: the future of discharge summaries?	174
AI-CAD for tuberculosis and other global high-burden diseases	172
A future role for health applications of large language models depends on regulators enforcing safety standards	167
Health insights from face photographs	166
Harnessing population-wide health data to predict cancer risk	164
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	159
Large language model integration in Philippine ophthalmology: early challenges and steps forward	147

Decolonising health data	140
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	138
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	136
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	132
Efficacy of standalone smartphone apps for mental health: an updated systematic review and meta-analysis	130
Synthetic data, synthetic trust: navigating data challenges in the digital revolution	128
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	127
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	119
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	119
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	118
Fairly evaluating the performance of normative models	111
Can electronic medical records predict neonatal seizures?	102
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	101
Safe care from home for complicated pregnancies?	98
US COVID-19 clinical trial leadership gender disparities	97
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	96
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	96
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	95
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	93
A long STANDING commitment to improving health care	91
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	87
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	87
The MAIDA initiative: establishing a framework for global medical-imaging data sharing	84
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	83
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	80
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	78
Radiomics in neuro-oncological clinical trials	77
Overlooked and under-reported: the impact of cyberattacks on primary care in the UK National Health Service	76
A response to evaluating national data flows	76
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study	74
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England	73
Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis	72
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study	72
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan	68
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis	68
Moving forward with machine learning models in acute chest pain	66
Pregnancy and SARS-CoV-2: an opportunity to systematically study the complexity of maternal health	66
Forging the tools for a computer-aided workflow in transplant pathology	66
Performance of universal and stratified computer-aided detection thresholds for chest x-ray-based tuberculosis screening: a cross-sectional, diagnostic accuracy study	64
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	64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	64
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	63
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	63
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	62
Correction to Lancet Digit Health 2024; 6: e562–69	60
5 years of The Lancet Digital Health	59
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	59
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	58
AI for medical diagnosis: does a single negative trial mean it is ineffective?	57
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial	57

Machine learning COVID-19 detection from wearables	57
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply	56
Correction to Lancet Digit Health 2022; 4: e497–506	56
A machine learning-based screening tool for genetic syndromes in children – Authors' reply	56
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing	56
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study	55
Standardising the role of a digital navigator in behavioural health: a systematic review	55
From text to treatment: the crucial role of validation for generative large language models in health care	55
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	53
Value of artificial intelligence in neuro-oncology	53
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	53
The promise of a model-based psychiatry: building computational models of mental ill health	51
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey	51
Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2	50
Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?	50
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review	49
The Jevons Paradox in global health: efficiency, demand, and the AI dilemma	49
Predicting seizure recurrence from medical records using large language models	49
Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study	49
Digital therapy for depression in multiple sclerosis	49
Digital transformation of ovarian cancer diagnosis and care	49
The sky's the limit	48
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	48
Just in time: detecting cardiac arrest with smartwatch technology	48
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study	46
Ethical and regulatory challenges of large language models in medicine	46
Digital health equity for older populations	46
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	45
Wearable technology and the cardiovascular system: the future of patient assessment	44
Data solidarity: a blueprint for governing health futures	44
Automated external defibrillator drones and their role in emergency response	43
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	43
Challenges of AI-based pulmonary function estimation from chest x-rays	43
AI models in health care are not colour blind and we should not be either	42
Curbing the carbon footprint of health care	42
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	42
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	42
Utilising the Benefit Risk Assessment of Vaccines (BRAVE) toolkit to evaluate the benefits and risks of Vaxzevria in the EU: a population-based study	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
Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer	41
Importance of sample size on the quality and utility of AI-based prediction models for healthcare	40
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	40
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	40
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	40
Artificial intelligence in medicine and the pursuit of environmentally responsible science	39
Reflecting on lived experience expertise in digital mental health research	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	38
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	38
Artificial intelligence-driven cardiac amyloidosis screening	37
Effect of epileptic activity on outcome for critically ill patients	35
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	35
Wearable health data privacy	35
Feedback loops in intensive care unit prognostic models: an under-recognised threat to clinical validity	34
Twitter, public health, and misinformation	34
Artificial intelligence-guided point-of-care ultrasonography for cardiomyopathy detection	33
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	33
Augmenting digital twins with federated learning in medicine	33
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	33
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study	33
Independent and openly reported head-to-head comparative validation studies of AI medical devices: a necessary step towards safe and responsible clinical AI deployment	32