Lancet Digital Health

(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.)
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis765
Applications of digital technology in COVID-19 pandemic planning and response532
What social media told us in the time of COVID-19: a scoping review363
Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study323
Artificial intelligence in COVID-19 drug repurposing292
The false hope of current approaches to explainable artificial intelligence in health care288
COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread248
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis209
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data203
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19203
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 Inv196
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study194
Building trust while influencing online COVID-19 content in the social media world193
Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study192
Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid191
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study189
The online anti-vaccine movement in the age of COVID-19183
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model179
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 study171
The myth of generalisability in clinical research and machine learning in health care168
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study162
A real-time dashboard of clinical trials for COVID-19159
COVID-19 and the digital divide in the UK157
A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial156
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 records154
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study145
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study134
ChatGPT: the future of discharge summaries?125
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study118
Suicide prevention using self-guided digital interventions: a systematic review and meta-analysis of randomised controlled trials114
Vaccine misinformation and social media113
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability113
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations106
Time to reality check the promises of machine learning-powered precision medicine105
Generating scholarly content with ChatGPT: ethical challenges for medical publishing104
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study99
Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation98
Online health survey research during COVID-1997
Predicting the risk of developing diabetic retinopathy using deep learning95
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study94
Clinical applications of continual learning machine learning93
The need for privacy with public digital contact tracing during the COVID-19 pandemic92
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints91
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 retrospect91
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study90
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension89
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology87
Ethical limitations of algorithmic fairness solutions in health care machine learning87
Health data poverty: an assailable barrier to equitable digital health care85
AI recognition of patient race in medical imaging: a modelling study81
Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms79
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis78
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension76
Smartphone and social media-based cardiac rehabilitation and secondary prevention in China (SMART-CR/SP): a parallel-group, single-blind, randomised controlled trial76
Health information technology and digital innovation for national learning health and care systems75
Microneedle biosensors for real-time, minimally invasive drug monitoring of phenoxymethylpenicillin: a first-in-human evaluation in healthy volunteers74
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study73
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis73
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study72
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test72
Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: a systematic review and meta-analysis72
Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial69
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study69
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 outcom66
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study65
Innovative intelligent insole system reduces diabetic foot ulcer recurrence at plantar sites: a prospective, randomised, proof-of-concept study65
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study65
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs64
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms64
Bridging the digital divide in health care61
Virtual care: new models of caring for our patients and workforce61
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 study60
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis60
Identifying who has long COVID in the USA: a machine learning approach using N3C data60
Blockchain applications in health care for COVID-19 and beyond: a systematic review60
Sub-Saharan Africa—the new breeding ground for global digital health60
Combined prevention for substance use, depression, and anxiety in adolescence: a cluster-randomised controlled trial of a digital online intervention59
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study59
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study59
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study57
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 disease57
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method57
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation56
A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study56
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study55
The medical algorithmic audit54
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic53
Data sharing in the era of COVID-1952
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses52
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study52
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study49
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study49
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review47
Machine learning for COVID-19—asking the right questions47
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial47
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study46
Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront45
Using ChatGPT to write patient clinic letters45
Implications of artificial intelligence for medical education45
Improving epidemic surveillance and response: big data is dead, long live big data44
The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study44
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis43
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study43
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study43
The need for feminist intersectionality in digital health42
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance42
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) database42
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK42
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study41
Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data41
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 study41
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT40
Public perceptions on data sharing: key insights from the UK and the USA39
Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial39
Addressing bias: artificial intelligence in cardiovascular medicine38
Reconceptualising the digital maturity of health systems38
Association between digital smart device use and myopia: a systematic review and meta-analysis38
A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial38
Characteristics of publicly available skin cancer image datasets: a systematic review37
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study37
Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study36
Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence36
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study36
Observational study of UK mobile health apps for COVID-1936
Crowdsourcing data to mitigate epidemics35
The European artificial intelligence strategy: implications and challenges for digital health35
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 bip35
Advancing digital health applications: priorities for innovation in real-world evidence generation34
Ethical issues in using ambient intelligence in health-care settings34
Adherence in children using positive airway pressure therapy: a big-data analysis34
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study33
Continual learning in medical devices: FDA's action plan and beyond32
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 stu32
An awakening in medicine: the partnership of humanity and intelligent machines32
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, observationa31
Applications of predictive modelling early in the COVID-19 epidemic31
Explainability and artificial intelligence in medicine31
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review30
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study30
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study30
Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study30
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study29
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study29
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data29
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study29
Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial28
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation28
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 (TIM28
Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review28
Africa turns to telemedicine to close mental health gap28
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age28