Lancet Digital Health

Article	Citations
FAIR, ethical, and coordinated data sharing for COVID-19 response: a scoping review and cross-sectional survey of COVID-19 data sharing platforms and registries	650
Correction to Lancet Digit Health 2021; 3: e577–86	471
Artificial intelligence in medicine and the pursuit of environmentally responsible science	370
Automated external defibrillator drones and their role in emergency response	357
COP27 Climate Change Conference: urgent action needed for Africa and the world	284
Accelerating action for gender equality in health	270
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	262
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study	235
Home telemonitoring versus hospital care in complicated pregnancies in the Netherlands: a randomised, controlled non-inferiority trial (HoTeL)	214
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery	202
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study	187
Challenges for augmenting intelligence in cardiac imaging	185
Advancing digital health applications: priorities for innovation in real-world evidence generation	182
Enhancing systematic review with machine learning modelling for global health research	181
A deep-learning model to assist thyroid nodule diagnosis and management	176
Can technology increase COVID-19 vaccination rates?	175
Thank you to The Lancet Digital Health's clinical and statistical peer reviewers in 2021	173
Retraction remedy: a resource for transparent science	170
Holding artificial intelligence to account	170
Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients under	168
Digital technology and new care pathways will redefine the cardiovascular workforce	152
In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat?	150
Co-design of digital health technologies in Australian First Nations communities	147
A comprehensive deep-learning model for interpreting chest x-rays	142
Targeting respiratory syncytial virus vaccination using individual prediction	140

Technology for world elimination of neglected tropical diseases	135
A deep-learning-enabled diagnosis of ovarian cancer	133
ChatGPT for digital pathology research	128
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	126
Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm	123
Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China	123
Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence	122
Balancing AI innovation with patient safety	116
Deep learning for automated bowel preparation assessment during colonoscopy: time to embrace a new approach?	110
Ethnic bias in data linkage	104
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply	103
AI for mammography screening: enter evidence from prospective trials	102
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study	102
AI models in health care are not colour blind and we should not be either	102
Telemedical cardiac risk assessment by implantable cardiac monitors in patients after myocardial infarction with autonomic dysfunction (SMART-MI-DZHK9): a prospective investigator-initiated, randomise	98
Using routine health-care data to search for unknown transfusion-transmitted disease: a nationwide, agnostic retrospective cohort study	98
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	96
Wearable devices: underrepresentation in the ageing society	95
Vaccines for pregnant people: are we missing the forest for the trees?	93
The urgent need to accelerate synthetic data privacy frameworks for medical research	91
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world	90
Using artificial intelligence technologies to improve skin cancer detection in primary care	90
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	83
Artificial Intelligence in cancer pathology—hope or hype?	82
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset	81
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings	81
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	79
Machine learning to predict type 1 diabetes in children	78
Challenges of detecting childhood diabetes in primary care	78
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial	73
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	73
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	72
Correction to Lancet Digit Health 2023; 5: e446–57	70
Challenges of AI-based pulmonary function estimation from chest x-rays	69
Correction to Lancet Digit Health 2023; 5: e400–02	69
Correction to Lancet Digit Health 2024; 6: e791–802	65
Artificial intelligence to complement rather than replace radiologists in breast screening	64
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution	63
Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study	60
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	60
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:	60
Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study	59
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study	59
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	57
Evaluation of artificial intelligence on a reference standard based on subjective interpretation	56
Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study	56
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	56
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	54
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	54
ChatGPT: friend or foe?	53

Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	53
The medical algorithmic audit	52
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	52
Curbing the carbon footprint of health care	52
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals	52
The potential for large language models to transform cardiovascular medicine	51
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	50
Internet-delivered cognitive behavioural therapy programme to reduce depressive symptoms in patients with multiple sclerosis: a multicentre, randomised, controlled, phase 3 trial	48
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	48
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model	47
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance	46
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study	45
Evaluating the effect of a digital health intervention to enhance physical activity in people with chronic kidney disease (Kidney BEAM): a multicentre, randomised controlled trial in the UK	45
Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial	44
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	44
Disparity dashboards: an evaluation of the literature and framework for health equity improvement	43
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial	43
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records	43
Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial	42
Explainability and artificial intelligence in medicine	42
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	42
Simple meal announcements and pramlintide delivery versus carbohydrate counting in type 1 diabetes with automated fast-acting insulin aspart delivery: a randomised crossover trial in Montreal, Canada	42
ChatGPT: the future of discharge summaries?	41
Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study	41
Seeing more with less: virtual gadolinium-enhanced glioma imaging	41
Detection of all-cause advanced hepatic fibrosis using an ensemble machine learning framework	40
Progress towards clinically informative data-driven decision support tools in psychotherapy	40
Correction to Lancet Digit Health 2021; 3: e697–706	40
Digital solutions for early breast cancer detection	40
Evaluating neonatal medical devices in Africa	39
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening	38
Addressing the challenges of integrating digital health technologies to measure patient-centred outcomes in clinical registries	38
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	38
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study	38
X-ray dark field imaging: a tool for early diagnosis of emphysema in chronic obstructive pulmonary disease?	37
Passive sensing at scale to transform understanding of poor mental health	37
Big data, artificial intelligence, and the opioid crisis	37
Harnessing population-wide health data to predict cancer risk	37
Effect of epileptic activity on outcome for critically ill patients	36
Accelerating health information technology capabilities across England's National Health Service	36
Correction to Lancet Digit Health 2024; 6: e153	36
Data, data all around	36
Decolonising health data	36
Correction to Lancet Digit Health 2021; 3: 286–94	36
Risk stratification of patients with COVID-19 in the community	35
Cyber risks to Ukrainian and other health systems	34
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study	34
Digital tools for mental health in a crisis	34
Clinical ground truth in machine learning for early sepsis diagnosis	34
Effect of the i2TransHealth e-health intervention on psychological distress among transgender and gender diverse adults from remote areas in Germany: a randomised controlled trial	33
Race representation matters in cancer care	33
A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning stud	33
Automated facial analysis of infant pain expressions: progress and future directions	33
Using digital health to address antimicrobial resistance	33
Artificial intelligence and sexual health in the USA	32
Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies	32
Artificial intelligence-driven cardiac amyloidosis screening	32
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	32
Host gene signature shows promise to distinguish bacterial and viral infections	32
Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis	32
Expanding people-centred primary health care with digital adaptation kits for self-care interventions	32
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study	31
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study	31
Are digital devices a new risk factor for myopia?	31
Digital health funding for COVID-19 vaccine deployment across four major donor agencies	31
Fairly evaluating the performance of normative models	30
Could an electronic tool to assess asthma control with a 1-day timeframe be useful for clinical management?	30
Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit–harm modelling study	29
Secondary data for global health digitalisation	29
Virtual pregnancies: predicting and preventing pregnancy complications with digital twins	29
Deep learning assessment of senescence-associated nuclear morphologies in mammary tissue from healthy female donors to predict future risk of breast cancer: a retrospective cohort study	28
Innovative diagnostic technologies: navigating regulatory frameworks through advances, challenges, and future prospects	28
Medical artificial intelligence for clinicians: the lost cognitive perspective	28
Using digital health technologies to optimise antimicrobial use globally	27
AI-CAD for tuberculosis and other global high-burden diseases	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
Twitter, public health, and misinformation	27
Early intervention for depressive symptoms in multiple sclerosis	27
Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial	26
Detection and subtyping of hepatic echinococcosis from plain CT images with deep learning: a retrospective, multicentre study	26

Building an evidence standards framework for artificial intelligence-enabled digital health technologies	26
Exploring electronic health records to study rare diseases	25
The effect of using a large language model to respond to patient messages	24
A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial	24
Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study	24
AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study	24
Large language model integration in Philippine ophthalmology: early challenges and steps forward	23
A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study	23
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy	23
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	23
The lofty heights of digital health	23
The new digital era in decompensated cirrhosis	22
Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge	22
A future role for health applications of large language models depends on regulators enforcing safety standards	22
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	22
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	22
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	22
Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial	22
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study	22
Wearable health data privacy	21
Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden	21
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist	21
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	21
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review	21
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	20
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	20
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review	20
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study	20
Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study	20
Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study	19
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	19
Leveraging electronic health records for data science: common pitfalls and how to avoid them	19
Using ChatGPT to write patient clinic letters	19
Correction to Lancet Digit Health 2022; 4: e256–65	18
Multimodal prognostic models and recent therapeutic advances	18
Addressing machine learning challenges with microcomputing and federated learning	18
My body, my choice, my data	18
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	18
Important steps for artificial intelligence-based risk assessment of older adults	18
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	17
Overcoming colonialism in pathogen genomics	17
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022	17
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	16
Do I sound sick?	16
Beyond the tip of the iceberg: direct and indirect effects of COVID-19	16
Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study	16
Can electronic medical records predict neonatal seizures?	15
Validation of a real-time biliopancreatic endoscopic ultrasonography analytical device in China: a prospective, single-centre, randomised, controlled trial	15
Pregnancy in a pandemic: inequalities in maternal health	15
Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study	15
Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Nethe	15
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases	15
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	14
Fully closed-loop insulin delivery—are we nearly there yet?	14
Concerns over England's new system for collecting general practitioner data	14
Ethnicity-based bias in clinical severity scores	14
Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study	14
The rise of racial minority health apps	13
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations	13
Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes	13
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis	13
The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence	13
Correction to Lancet Digit Health 2022; 4: e884–92	13
A long STANDING commitment to improving health care	13
Effect of digital psychoeducation and peer support on the mental health of family carers supporting individuals with psychosis in England (COPe-support): a randomised clinical trial	13
Correction to Lancet Digit Health 2023; 5: e404–20	12
US COVID-19 clinical trial leadership gender disparities	12
Unmasking hidden risk: an AI approach to improve cardiovascular risk assessment in females	12
Correction to Lancet Digit Health 2022; published online June 17. https://doi.org/10.1016/S2589-7500(22)00090-5	12
Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies	12
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements	12
Correction to Lancet Digit Health 2020; 2: e395–96	12
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	12
Revising the atherosclerotic cardiovascular disease calculator without race	12
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study	11
Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning	11
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	11
Remote general practitioner consultations during COVID-19	11
COVID-19 containment measures and incidence of invasive bacterial disease	11
A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trial	11
Automated machine learning as a partner in predictive modelling	11
AI for mammography: making double screen-reading history	11
Implementing automation in deep brain stimulation: has the time come?	11
Paediatric safety assessment of BNT162b2 vaccination in a multistate hospital-based electronic health record system in the USA: a retrospective analysis	11
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China	11
Safe care from home for complicated pregnancies?	11
Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study	10
Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France	10
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	10
The efficacy of automated feedback after internet-based depression screening (DISCOVER): an observer-masked, three-armed, randomised controlled trial in Germany	10
A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial	10
Augmenting digital twins with federated learning in medicine	10
Combating medical misinformation and rebuilding trust in the USA	10
Effectiveness of a universal, school-based, online programme for the prevention of anxiety, depression, and substance misuse among adolescents in Australia: 72-month outcomes from a cluster-randomised	10
The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study	10