OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 28. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Applications of digital technology in COVID-19 pandemic planning and response	611
What social media told us in the time of COVID-19: a scoping review	469
The false hope of current approaches to explainable artificial intelligence in health care	468
ChatGPT: the future of discharge summaries?	351
Artificial intelligence in COVID-19 drug repurposing	339
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis	310
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	280
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	274
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19	232
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	229
The myth of generalisability in clinical research and machine learning in health care	229
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data	226
Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid	212
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model	211
The online anti-vaccine movement in the age of COVID-19	200
Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study	199
COVID-19 and the digital divide in the UK	195
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study	191
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study	178
AI recognition of patient race in medical imaging: a modelling study	169
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability	169
Using ChatGPT to write patient clinic letters	162
ChatGPT: friend or foe?	149
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study	148
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints	142

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension	140
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study	137
Predicting the risk of developing diabetic retinopathy using deep learning	136
Time to reality check the promises of machine learning-powered precision medicine	134
Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospect	133
Health data poverty: an assailable barrier to equitable digital health care	129
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses	128
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension	127
Health information technology and digital innovation for national learning health and care systems	121
Online health survey research during COVID-19	119
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	118
Identifying who has long COVID in the USA: a machine learning approach using N3C data	118
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study	114
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study	108
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study	106
The need for privacy with public digital contact tracing during the COVID-19 pandemic	105
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology	104
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	104
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	104
The medical algorithmic audit	103
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	103
Ethics of large language models in medicine and medical research	101
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs	98
Characteristics of publicly available skin cancer image datasets: a systematic review	93
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test	92
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	91
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	90
Interpreting area under the receiver operating characteristic curve	90
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review	90
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study	88
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms	88
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	84
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	84
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	83
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis	83
Association between digital smart device use and myopia: a systematic review and meta-analysis	82
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis	81
Blockchain applications in health care for COVID-19 and beyond: a systematic review	80
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	77
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease	76
A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study	75
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	75
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	75
A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study	74
The need for feminist intersectionality in digital health	73
Explainability and artificial intelligence in medicine	73
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic	71
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	70
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis	70
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation	67

Advancing digital health applications: priorities for innovation in real-world evidence generation	66
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial	63
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study	63
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance	62
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	61
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study	61
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	60
From promise to practice: towards the realisation of AI-informed mental health care	60
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	60
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database	60
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study	58
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	58
The European artificial intelligence strategy: implications and challenges for digital health	57
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	57
Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study	55
Ethical issues in using ambient intelligence in health-care settings	54
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	54
Public perceptions on data sharing: key insights from the UK and the USA	54
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	54
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge	54
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review	51
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data	50
Addressing bias: artificial intelligence in cardiovascular medicine	49
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	49
Machine learning for COVID-19—asking the right questions	48
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	47
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study	47
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study	47
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study	46
Approaching autonomy in medical artificial intelligence	45
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK	45
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	44
Continual learning in medical devices: FDA's action plan and beyond	43
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	43
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	43
Africa turns to telemedicine to close mental health gap	42
Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial	42
Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning stu	41
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	41
Leveraging electronic health records for data science: common pitfalls and how to avoid them	41
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age	40
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	40
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	40
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data	39
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	39
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study	38
Observational study of UK mobile health apps for COVID-19	38
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study	38
Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter	37
Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial	37
Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observationa	37
Digital health and telehealth in cancer care: a scoping review of reviews	37
COVID-19 detection from audio: seven grains of salt	37
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	36
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	35
An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England	34
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	34
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:	34
Applications of predictive modelling early in the COVID-19 epidemic	33
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review	32
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	32
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	32
Machine learning in radiology: the new frontier in interstitial lung diseases	30
Radiomics in neuro-oncological clinical trials	30
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data	30
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	30
Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study	30
Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening	29
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	28
Challenging racism in the use of health data	28
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	28
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study	28
Predicted COVID-19 positive cases, hospitalisations, and deaths associated with the Delta variant of concern, June–July, 2021	28