Lancet Digital Health

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
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	64
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
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
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
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
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	57
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
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
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
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	52
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT	52
Ethical issues in using ambient intelligence in health-care settings	51
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
Public perceptions on data sharing: key insights from the UK and the USA	50
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study	49
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
Machine learning for COVID-19—asking the right questions	48
Addressing bias: artificial intelligence in cardiovascular medicine	47
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review	46
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	46
Improving epidemic surveillance and response: big data is dead, long live big data	45
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study	44
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK	44
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study	43
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data	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
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	40
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
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
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
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
Observational study of UK mobile health apps for COVID-19	38
Approaching autonomy in medical artificial intelligence	38
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
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	37
Crowdsourcing data to mitigate epidemics	36
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
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
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
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
Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter	32
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	32
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	32
Leveraging electronic health records for data science: common pitfalls and how to avoid them	32
Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial	32
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	30
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:	29
Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study	29
Predicted COVID-19 positive cases, hospitalisations, and deaths associated with the Delta variant of concern, June–July, 2021	28

Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	28
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	27
Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening	27
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data	27
Direct-to-consumer digital health	27
A new paradigm for drug development	26
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review	26
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	26
Shut down and reboot—preparing to minimise infection in a post-COVID-19 era	26
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	26
The International Hundred Thousand Plus Cohort Consortium: integrating large-scale cohorts to address global scientific challenges	25
Radiomics in neuro-oncological clinical trials	25
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	25
Remote general practitioner consultations during COVID-19	25
Challenging racism in the use of health data	24
Data capture and sharing in the COVID-19 pandemic: a cause for concern	24
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	24
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research	23
Digital health and telehealth in cancer care: a scoping review of reviews	23
Big data and predictive modelling for the opioid crisis: existing research and future potential	23
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	23
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study	23
Paradox of telemedicine: building or neglecting trust and equity	22
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	22
Beyond the tip of the iceberg: direct and indirect effects of COVID-19	22
Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysis	21
The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study	21
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	21
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	21
Digital technologies: a new determinant of health	21
Artificial intelligence for COVID-19: saviour or saboteur?	21
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening	21
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?	21
Machine learning in radiology: the new frontier in interstitial lung diseases	21
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study	21
A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial	21
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	21
Evaluation of artificial intelligence on a reference standard based on subjective interpretation	21
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	20
Electronic decision support and diarrhoeal disease guideline adherence (mHDM): a cluster randomised controlled trial	20
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study	20
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study	20
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	20
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	20
Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials	20
Could telemedicine solve the cancer backlog?	19
Implementation of corticosteroids in treatment of COVID-19 in the ISARIC WHO Clinical Characterisation Protocol UK: prospective, cohort study	19
Secondary data for global health digitalisation	19
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	19
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial	19
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	18
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	18
The promise of a model-based psychiatry: building computational models of mental ill health	18
Data solidarity: a blueprint for governing health futures	18
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis	18
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	17
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	17
Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study	17
Digital health at the age of the Anthropocene	17
Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution	17
Data journalism and the COVID-19 pandemic: opportunities and challenges	16
Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study	16
Development of a treatment selection algorithm for SGLT2 and DPP-4 inhibitor therapies in people with type 2 diabetes: a retrospective cohort study	16
Communicating in a public health crisis	16
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	16
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	16
Contact tracing: digital health on the frontline	16
Prediction models for COVID-19 clinical decision making	15
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial	15
Solutions to COVID-19 data sharing	15
COVID-19: digital equivalence of health care in English prisons	15
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study	15
Transparency during global health emergencies	15
Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study	15
Remote shared care delivery: a virtual response to COVID-19	15
The challenges and opportunities of mental health data sharing in the UK	15
Revising the atherosclerotic cardiovascular disease calculator without race	14
Telemedical cardiac risk assessment by implantable cardiac monitors in patients after myocardial infarction with autonomic dysfunction (SMART-MI-DZHK9): a prospective investigator-initiated, randomise	14
Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study	14
Progress in examining cost-effectiveness of AI in diabetic retinopathy screening	14
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	14
Fetal growth and gestational age prediction by machine learning	13
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial	13
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	13
Using cloud technology in health care during the COVID-19 pandemic	13
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	13
Convolutional neural network for the detection of pancreatic cancer on CT scans	13
A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial	13
Face masks help control transmission of COVID-19	13
Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm	13
The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)	13
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	13
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study	12
Early human judgment forecasts of human monkeypox, May 2022	12
CT scan AI-aided triage for patients with COVID-19 in China	12