OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 33. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Applications of digital technology in COVID-19 pandemic planning and response	596
What social media told us in the time of COVID-19: a scoping review	446
The false hope of current approaches to explainable artificial intelligence in health care	427
Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study	341
Artificial intelligence in COVID-19 drug repurposing	328
ChatGPT: the future of discharge summaries?	286
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis	277
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	257
COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread	256
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19	228
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	224
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data	219
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	217
Building trust while influencing online COVID-19 content in the social media world	214
The myth of generalisability in clinical research and machine learning in health care	212
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model	207
Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid	205
The online anti-vaccine movement in the age of COVID-19	194
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	193
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study	188
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records	186
COVID-19 and the digital divide in the UK	185
A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial	178
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study	166
A real-time dashboard of clinical trials for COVID-19	164

Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study	147
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability	145
AI recognition of patient race in medical imaging: a modelling study	142
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study	132
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension	131
ChatGPT: friend or foe?	131
Using ChatGPT to write patient clinic letters	130
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints	128
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations	128
Predicting the risk of developing diabetic retinopathy using deep learning	128
Time to reality check the promises of machine learning-powered precision medicine	125
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	124
Clinical applications of continual learning machine learning	122
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study	120
Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation	118
Online health survey research during COVID-19	117
Ethical limitations of algorithmic fairness solutions in health care machine learning	115
Health data poverty: an assailable barrier to equitable digital health care	113
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	113
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study	111
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension	111
Health information technology and digital innovation for national learning health and care systems	106
The need for privacy with public digital contact tracing during the COVID-19 pandemic	103
Identifying who has long COVID in the USA: a machine learning approach using N3C data	102
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses	101
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study	100
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology	100
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study	97
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	95
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	91
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study	91
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs	90
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test	90
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	89
The medical algorithmic audit	86
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	85
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study	85
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis	81
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis	81
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	81
Ethics of large language models in medicine and medical research	81
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms	80
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study	78
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	78
Characteristics of publicly available skin cancer image datasets: a systematic review	77
Blockchain applications in health care for COVID-19 and beyond: a systematic review	77
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	76
Sub-Saharan Africa—the new breeding ground for global digital health	74
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	72
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review	71

X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	70
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	69
Association between digital smart device use and myopia: a systematic review and meta-analysis	69
Interpreting area under the receiver operating characteristic curve	69
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis	68
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic	68
A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study	67
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	66
Virtual care: new models of caring for our patients and workforce	64
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation	64
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	64
Explainability and artificial intelligence in medicine	63
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	63
The need for feminist intersectionality in digital health	62
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial	60
Advancing digital health applications: priorities for innovation in real-world evidence generation	58
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study	58
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study	58
A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study	58
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	57
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	55
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	55
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance	55
Data sharing in the era of COVID-19	54
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study	53
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT	52
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	52
Ethical issues in using ambient intelligence in health-care settings	51
Public perceptions on data sharing: key insights from the UK and the USA	50
The European artificial intelligence strategy: implications and challenges for digital health	50
From promise to practice: towards the realisation of AI-informed mental health care	50
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	49
Machine learning for COVID-19—asking the right questions	48
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	48
Addressing bias: artificial intelligence in cardiovascular medicine	47
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	46
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review	46
Improving epidemic surveillance and response: big data is dead, long live big data	45
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK	44
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study	44
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data	43
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study	43
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study	42
Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study	41
Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial	40
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	40
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	40
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	40
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	39
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	39
Continual learning in medical devices: FDA's action plan and beyond	39
Observational study of UK mobile health apps for COVID-19	38
Approaching autonomy in medical artificial intelligence	38
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge	38
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	38
Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence	38
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	38
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	37
Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study	37
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	37
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age	37
Crowdsourcing data to mitigate epidemics	36
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	35
Africa turns to telemedicine to close mental health gap	35
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	35
COVID-19 detection from audio: seven grains of salt	35
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study	35
Applications of predictive modelling early in the COVID-19 epidemic	33
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	33
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	33
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	33