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. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-09-01 to 2023-09-01.)

Article	Citations
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis	765
Applications of digital technology in COVID-19 pandemic planning and response	532
What social media told us in the time of COVID-19: a scoping review	363
Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study	323
Artificial intelligence in COVID-19 drug repurposing	292
The false hope of current approaches to explainable artificial intelligence in health care	288
COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread	248
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis	209
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data	203
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19	203
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	196
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study	194
Building trust while influencing online COVID-19 content in the social media world	193
Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study	192
Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid	191
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	189
The online anti-vaccine movement in the age of COVID-19	183
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model	179
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	171
The myth of generalisability in clinical research and machine learning in health care	168
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study	162
A real-time dashboard of clinical trials for COVID-19	159
COVID-19 and the digital divide in the UK	157
A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial	156
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	154

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study	145
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study	134
ChatGPT: the future of discharge summaries?	125
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study	118
Suicide prevention using self-guided digital interventions: a systematic review and meta-analysis of randomised controlled trials	114
Vaccine misinformation and social media	113
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability	113
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations	106
Time to reality check the promises of machine learning-powered precision medicine	105
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	104
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study	99
Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation	98
Online health survey research during COVID-19	97
Predicting the risk of developing diabetic retinopathy using deep learning	95
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study	94
Clinical applications of continual learning machine learning	93
The need for privacy with public digital contact tracing during the COVID-19 pandemic	92
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints	91
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	91
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study	90
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension	89
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology	87
Ethical limitations of algorithmic fairness solutions in health care machine learning	87
Health data poverty: an assailable barrier to equitable digital health care	85
AI recognition of patient race in medical imaging: a modelling study	81
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	79
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis	78
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension	76
Smartphone and social media-based cardiac rehabilitation and secondary prevention in China (SMART-CR/SP): a parallel-group, single-blind, randomised controlled trial	76
Health information technology and digital innovation for national learning health and care systems	75
Microneedle biosensors for real-time, minimally invasive drug monitoring of phenoxymethylpenicillin: a first-in-human evaluation in healthy volunteers	74
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	73
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis	73
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study	72
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test	72
Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: a systematic review and meta-analysis	72
Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial	69
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study	69
CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcom	66
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study	65
Innovative intelligent insole system reduces diabetic foot ulcer recurrence at plantar sites: a prospective, randomised, proof-of-concept study	65
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	65
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs	64
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms	64
Bridging the digital divide in health care	61
Virtual care: new models of caring for our patients and workforce	61
ChatGPT: friend or foe?	61
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	60
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis	60
Identifying who has long COVID in the USA: a machine learning approach using N3C data	60

Blockchain applications in health care for COVID-19 and beyond: a systematic review	60
Sub-Saharan Africa—the new breeding ground for global digital health	60
Combined prevention for substance use, depression, and anxiety in adolescence: a cluster-randomised controlled trial of a digital online intervention	59
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	59
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study	59
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	57
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	57
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method	57
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation	56
A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study	56
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study	55
The medical algorithmic audit	54
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic	53
Data sharing in the era of COVID-19	52
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses	52
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	52
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	49
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	49
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	47
Machine learning for COVID-19—asking the right questions	47
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial	47
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study	46
Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront	45
Using ChatGPT to write patient clinic letters	45
Implications of artificial intelligence for medical education	45
Improving epidemic surveillance and response: big data is dead, long live big data	44
The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study	44
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	43
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	43
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	43
The need for feminist intersectionality in digital health	42
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance	42
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	42
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK	42
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study	41
Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data	41
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	41
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT	40
Public perceptions on data sharing: key insights from the UK and the USA	39
Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial	39
Addressing bias: artificial intelligence in cardiovascular medicine	38
Reconceptualising the digital maturity of health systems	38
Association between digital smart device use and myopia: a systematic review and meta-analysis	38
A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial	38
Characteristics of publicly available skin cancer image datasets: a systematic review	37
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study	37
Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study	36
Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence	36
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	36
Observational study of UK mobile health apps for COVID-19	36
Crowdsourcing data to mitigate epidemics	35
The European artificial intelligence strategy: implications and challenges for digital health	35
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	35
Advancing digital health applications: priorities for innovation in real-world evidence generation	34
Ethical issues in using ambient intelligence in health-care settings	34
Adherence in children using positive airway pressure therapy: a big-data analysis	34
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study	33
Continual learning in medical devices: FDA's action plan and beyond	32
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	32
An awakening in medicine: the partnership of humanity and intelligent machines	32
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	31
Applications of predictive modelling early in the COVID-19 epidemic	31
Explainability and artificial intelligence in medicine	31
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review	30
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	30
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	30
Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study	30
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	29
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study	29
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	29
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study	29
Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial	28
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	28
Mortality and morbidity 1 year after stopping a remote patient management intervention: extended follow-up results from the telemedical interventional management in patients with heart failure II (TIM	28
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review	28
Africa turns to telemedicine to close mental health gap	28
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age	28