OOIR: Observatory of International Research

Papers

(The TQCC of Lancet Digital Health is 26. 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 2020-12-01 to 2024-12-01.)

Article	Citations
The false hope of current approaches to explainable artificial intelligence in health care	558
What social media told us in the time of COVID-19: a scoping review	513
ChatGPT: the future of discharge summaries?	414
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis	367
Artificial intelligence in COVID-19 drug repurposing	364
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	327
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	311
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	250
AI recognition of patient race in medical imaging: a modelling study	226
Using ChatGPT to write patient clinic letters	213
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	205
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study	199
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses	188
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability	185
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study	164
ChatGPT: friend or foe?	161
Predicting the risk of developing diabetic retinopathy using deep learning	151
Health information technology and digital innovation for national learning health and care systems	151
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	148
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study	147
Interpreting area under the receiver operating characteristic curve	143
Identifying who has long COVID in the USA: a machine learning approach using N3C data	138
Time to reality check the promises of machine learning-powered precision medicine	138
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	137
Health data poverty: an assailable barrier to equitable digital health care	137

Ethics of large language models in medicine and medical research	136
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	132
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms	130
Online health survey research during COVID-19	130
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study	118
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs	116
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	116
The medical algorithmic audit	114
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology	113
Association between digital smart device use and myopia: a systematic review and meta-analysis	111
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	109
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review	107
Characteristics of publicly available skin cancer image datasets: a systematic review	105
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	100
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study	100
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study	99
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test	99
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	94
Explainability and artificial intelligence in medicine	94
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	91
The need for feminist intersectionality in digital health	89
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	89
Blockchain applications in health care for COVID-19 and beyond: a systematic review	89
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	88
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	86
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	86
A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study	86
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study	86
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis	83
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	80
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study	76
Advancing digital health applications: priorities for innovation in real-world evidence generation	72
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	71
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis	71
From promise to practice: towards the realisation of AI-informed mental health care	71
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study	69
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance	68
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	67
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	67
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	65
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	65
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	64
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study	64
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	62
Leveraging electronic health records for data science: common pitfalls and how to avoid them	62
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	61
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge	61
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	59
Ethical issues in using ambient intelligence in health-care settings	58
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	57

Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	57
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review	55
Addressing bias: artificial intelligence in cardiovascular medicine	55
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data	54
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study	53
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	53
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study	52
Digital health and telehealth in cancer care: a scoping review of reviews	52
Continual learning in medical devices: FDA's action plan and beyond	50
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	48
Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial	48
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study	47
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	47
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	46
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	46
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	45
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	44
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	44
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	43
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study	42
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age	42
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised tri	41
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review	40
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	39
COVID-19 detection from audio: seven grains of salt	39
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	39
Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter	39
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:	37
Machine learning in radiology: the new frontier in interstitial lung diseases	37
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	36
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	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	35
Radiomics in neuro-oncological clinical trials	34
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	33
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening	33
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	33
Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysis	33
Trends in invasive bacterial diseases during the first 2 years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries and territories in the IRIS Consortium	33
Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening	32
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	32
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data	32
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	31
Wearable technology and the cardiovascular system: the future of patient assessment	31
Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study	31
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	31
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	30
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	30
Challenging racism in the use of health data	30
The promise of a model-based psychiatry: building computational models of mental ill health	29
Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials	29
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks	29
Data capture and sharing in the COVID-19 pandemic: a cause for concern	29
Digital technologies: a new determinant of health	28
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	28
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	28
Predicted COVID-19 positive cases, hospitalisations, and deaths associated with the Delta variant of concern, June–July, 2021	28
Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study	28
Evaluation of artificial intelligence on a reference standard based on subjective interpretation	28
Big data and predictive modelling for the opioid crisis: existing research and future potential	28
Large language models and their impact in ophthalmology	28
Remote general practitioner consultations during COVID-19	28
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populati	27
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study	27
Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study	27
Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort	27
Paradox of telemedicine: building or neglecting trust and equity	27
A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial	26
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	26
Secondary data for global health digitalisation	26
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study	26
Development and dissemination of infectious disease dynamic transmission models during the COVID-19 pandemic: what can we learn from other pathogens and how can we move forward?	26