OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 29. 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 2021-04-01 to 2025-04-01.)

Article	Citations
FAIR, ethical, and coordinated data sharing for COVID-19 response: a scoping review and cross-sectional survey of COVID-19 data sharing platforms and registries	650
Correction to Lancet Digit Health 2021; 3: e577–86	471
Artificial intelligence in medicine and the pursuit of environmentally responsible science	370
Automated external defibrillator drones and their role in emergency response	357
COP27 Climate Change Conference: urgent action needed for Africa and the world	284
Accelerating action for gender equality in health	270
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	262
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study	235
Home telemonitoring versus hospital care in complicated pregnancies in the Netherlands: a randomised, controlled non-inferiority trial (HoTeL)	214
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	202
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study	187
Challenges for augmenting intelligence in cardiac imaging	185
Advancing digital health applications: priorities for innovation in real-world evidence generation	182
Enhancing systematic review with machine learning modelling for global health research	181
A deep-learning model to assist thyroid nodule diagnosis and management	176
Can technology increase COVID-19 vaccination rates?	175
Thank you to The Lancet Digital Health's clinical and statistical peer reviewers in 2021	173
Holding artificial intelligence to account	170
Retraction remedy: a resource for transparent science	170
Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients under	168
Digital technology and new care pathways will redefine the cardiovascular workforce	152
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	150
Co-design of digital health technologies in Australian First Nations communities	147
A comprehensive deep-learning model for interpreting chest x-rays	142
Targeting respiratory syncytial virus vaccination using individual prediction	140

Technology for world elimination of neglected tropical diseases	135
A deep-learning-enabled diagnosis of ovarian cancer	133
ChatGPT for digital pathology research	128
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	126
Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China	123
Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm	123
Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence	122
Balancing AI innovation with patient safety	116
Deep learning for automated bowel preparation assessment during colonoscopy: time to embrace a new approach?	110
Ethnic bias in data linkage	104
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	103
AI for mammography screening: enter evidence from prospective trials	102
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	102
AI models in health care are not colour blind and we should not be either	102
Telemedical cardiac risk assessment by implantable cardiac monitors in patients after myocardial infarction with autonomic dysfunction (SMART-MI-DZHK9): a prospective investigator-initiated, randomise	98
Using routine health-care data to search for unknown transfusion-transmitted disease: a nationwide, agnostic retrospective cohort study	98
Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicent	96
Wearable devices: underrepresentation in the ageing society	95
Vaccines for pregnant people: are we missing the forest for the trees?	93
The urgent need to accelerate synthetic data privacy frameworks for medical research	91
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	90
Using artificial intelligence technologies to improve skin cancer detection in primary care	90
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	83
Artificial Intelligence in cancer pathology—hope or hype?	82
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	81
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	81
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	79
Challenges of detecting childhood diabetes in primary care	78
Machine learning to predict type 1 diabetes in children	78
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial	73
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	73
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	72
Correction to Lancet Digit Health 2023; 5: e446–57	70
Correction to Lancet Digit Health 2023; 5: e400–02	69
Challenges of AI-based pulmonary function estimation from chest x-rays	69
Correction to Lancet Digit Health 2024; 6: e791–802	65
Artificial intelligence to complement rather than replace radiologists in breast screening	64
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	63
Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study	60
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	60
Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study:	60
Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study	59
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	59
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	57
Evaluation of artificial intelligence on a reference standard based on subjective interpretation	56
Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study	56
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	56
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	54
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	54
ChatGPT: friend or foe?	53

Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	53
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	52
Curbing the carbon footprint of health care	52
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	52
The medical algorithmic audit	52
The potential for large language models to transform cardiovascular medicine	51
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials	50
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	48
Internet-delivered cognitive behavioural therapy programme to reduce depressive symptoms in patients with multiple sclerosis: a multicentre, randomised, controlled, phase 3 trial	48
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	47
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	46
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	45
Evaluating the effect of a digital health intervention to enhance physical activity in people with chronic kidney disease (Kidney BEAM): a multicentre, randomised controlled trial in the UK	45
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	44
Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial	44
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial	43
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	43
Disparity dashboards: an evaluation of the literature and framework for health equity improvement	43
Explainability and artificial intelligence in medicine	42
Changes in the incidence of invasive disease due to Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis during the COVID-19 pandemic in 26 countries and territories in the Inv	42
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
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	42
Seeing more with less: virtual gadolinium-enhanced glioma imaging	41
ChatGPT: the future of discharge summaries?	41
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	41
Digital solutions for early breast cancer detection	40
Detection of all-cause advanced hepatic fibrosis using an ensemble machine learning framework	40
Progress towards clinically informative data-driven decision support tools in psychotherapy	40
Correction to Lancet Digit Health 2021; 3: e697–706	40
Evaluating neonatal medical devices in Africa	39
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study	38
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening	38
Addressing the challenges of integrating digital health technologies to measure patient-centred outcomes in clinical registries	38
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	38
Passive sensing at scale to transform understanding of poor mental health	37
Big data, artificial intelligence, and the opioid crisis	37
Harnessing population-wide health data to predict cancer risk	37
X-ray dark field imaging: a tool for early diagnosis of emphysema in chronic obstructive pulmonary disease?	37
Correction to Lancet Digit Health 2024; 6: e153	36
Data, data all around	36
Decolonising health data	36
Correction to Lancet Digit Health 2021; 3: 286–94	36
Effect of epileptic activity on outcome for critically ill patients	36
Accelerating health information technology capabilities across England's National Health Service	36
Risk stratification of patients with COVID-19 in the community	35
Digital tools for mental health in a crisis	34
Clinical ground truth in machine learning for early sepsis diagnosis	34
Cyber risks to Ukrainian and other health systems	34
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	34
Race representation matters in cancer care	33
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	33
Automated facial analysis of infant pain expressions: progress and future directions	33
Using digital health to address antimicrobial resistance	33
Effect of the i2TransHealth e-health intervention on psychological distress among transgender and gender diverse adults from remote areas in Germany: a randomised controlled trial	33
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	32
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	32
Artificial intelligence and sexual health in the USA	32
Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies	32
Artificial intelligence-driven cardiac amyloidosis screening	32
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	32
Host gene signature shows promise to distinguish bacterial and viral infections	32
Are digital devices a new risk factor for myopia?	31
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	31
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	31
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	31
Could an electronic tool to assess asthma control with a 1-day timeframe be useful for clinical management?	30
Fairly evaluating the performance of normative models	30
Secondary data for global health digitalisation	29
Virtual pregnancies: predicting and preventing pregnancy complications with digital twins	29
Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit–harm modelling study	29