OOIR: Observatory of International Research

Papers

(The H4-Index of Lancet Digital Health is 73. 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