Lancet Digital Health

Article	Citations
The false hope of current approaches to explainable artificial intelligence in health care	523
What social media told us in the time of COVID-19: a scoping review	504
ChatGPT: the future of discharge summaries?	390
Artificial intelligence in COVID-19 drug repurposing	352
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis	342
Generating scholarly content with ChatGPT: ethical challenges for medical publishing	299
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	296
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study	240
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19	235
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model	216
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
The online anti-vaccine movement in the age of COVID-19	205
Using ChatGPT to write patient clinic letters	197
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study	195
AI recognition of patient race in medical imaging: a modelling study	194
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
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses	162
ChatGPT: friend or foe?	161
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension	155
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension	152
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
Predicting the risk of developing diabetic retinopathy using deep learning	146
Health information technology and digital innovation for national learning health and care systems	138
Health data poverty: an assailable barrier to equitable digital health care	137

Time to reality check the promises of machine learning-powered precision medicine	136
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study	134
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	128
Ethics of large language models in medicine and medical research	125
Identifying who has long COVID in the USA: a machine learning approach using N3C data	125
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study	122
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review	122
Interpreting area under the receiver operating characteristic curve	119
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study	115
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study	115
The medical algorithmic audit	114
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology	108
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
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs	104
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
Association between digital smart device use and myopia: a systematic review and meta-analysis	98
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test	95
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study	94
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study	94
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms	92
The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study	91
Blockchain applications in health care for COVID-19 and beyond: a systematic review	89
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study	87
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
The need for feminist intersectionality in digital health	86
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study	85
Explainability and artificial intelligence in medicine	84
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis	83
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis	83
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	82
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study	82
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study	81
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis	80
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic	79
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study	75
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study	74
Advancing digital health applications: priorities for innovation in real-world evidence generation	72
From promise to practice: towards the realisation of AI-informed mental health care	71
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis	71
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
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation	67
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study	65
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
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
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study	64
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study	61
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study	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
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge	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
Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis	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
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study	52
Leveraging electronic health records for data science: common pitfalls and how to avoid them	52
Digital health and telehealth in cancer care: a scoping review of reviews	49
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	48
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study	48
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review	47
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study	47
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study	47
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation	45
Continual learning in medical devices: FDA's action plan and beyond	45
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning	44
Africa turns to telemedicine to close mental health gap	44
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study	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
Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial	43
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study	42
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	42
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data	42
WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age	42
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review	40
COVID-19 detection from audio: seven grains of salt	39
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
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	37
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
Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries	36
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study	36
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study	35
Machine learning in radiology: the new frontier in interstitial lung diseases	35
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	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
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
Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysis	33
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study	33
Applications of predictive modelling early in the COVID-19 epidemic	33
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research	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
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data	32
Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study	31
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	31
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
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
The International Hundred Thousand Plus Cohort Consortium: integrating large-scale cohorts to address global scientific challenges	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
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
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
Predicted COVID-19 positive cases, hospitalisations, and deaths associated with the Delta variant of concern, June–July, 2021	28
Remote general practitioner consultations during COVID-19	28
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening	28
Large language models and their impact in ophthalmology	28
The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections	28
Evaluation of artificial intelligence on a reference standard based on subjective interpretation	28
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks	27
Paradox of telemedicine: building or neglecting trust and equity	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
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study	27
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
Big data and predictive modelling for the opioid crisis: existing research and future potential	26

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
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	25
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	25
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study	25
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study	25
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial	24
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	24
Wearable devices—addressing bias and inequity	24
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	24
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation	24
Wearable technology and the cardiovascular system: the future of patient assessment	24
The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study	24
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study	23
The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)	23
Beyond the tip of the iceberg: direct and indirect effects of COVID-19	23
Implementation of corticosteroids in treatment of COVID-19 in the ISARIC WHO Clinical Characterisation Protocol UK: prospective, cohort study	23
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial	22
Development of a treatment selection algorithm for SGLT2 and DPP-4 inhibitor therapies in people with type 2 diabetes: a retrospective cohort study	22
Artificial intelligence for COVID-19: saviour or saboteur?	22
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study	21
Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study	21
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study	21
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	21
Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort	20
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies	20
Data solidarity: a blueprint for governing health futures	20
Does deidentification of data from wearable devices give us a false sense of security? A systematic review	20
Data journalism and the COVID-19 pandemic: opportunities and challenges	19
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial	19
Revising the atherosclerotic cardiovascular disease calculator without race	18
Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm	18
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	18
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	18
The impact of commercial health datasets on medical research and health-care algorithms	18
Telemedical cardiac risk assessment by implantable cardiac monitors in patients after myocardial infarction with autonomic dysfunction (SMART-MI-DZHK9): a prospective investigator-initiated, randomise	18
The challenges and opportunities of mental health data sharing in the UK	18
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	17
Early human judgment forecasts of human monkeypox, May 2022	17
Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial	17
Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical t	17
Communicating in a public health crisis	17
Contact tracing: digital health on the frontline	17
Standardising the role of a digital navigator in behavioural health: a systematic review	17
The global effect of digital health technologies on health workers’ competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis	17
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study	17
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19	16
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials	16
Predicting hospitalisation for heart failure and death in patients with, or at risk of, heart failure before first hospitalisation: a retrospective model development and external validation study	16
Decentralised clinical trials: ethical opportunities and challenges	16
Solutions to COVID-19 data sharing	16
Building an evidence standards framework for artificial intelligence-enabled digital health technologies	15
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study	15
Using cloud technology in health care during the COVID-19 pandemic	15
Prediction models for COVID-19 clinical decision making	15
Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study	14
Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study	14
Internet-delivered cognitive behavioural therapy programme to reduce depressive symptoms in patients with multiple sclerosis: a multicentre, randomised, controlled, phase 3 trial	14
Preventing harm from non-conscious bias in medical generative AI	14
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	14
Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort st	14
Home telemonitoring versus hospital care in complicated pregnancies in the Netherlands: a randomised, controlled non-inferiority trial (HoTeL)	14
Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study	13
Mapping and evaluating national data flows: transparency, privacy, and guiding infrastructural transformation	13
Artificial intelligence and sexual health in the USA	13
Face masks help control transmission of COVID-19	13
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation	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
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis	13
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation	13
Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study	13
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review	12
Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort	12
The effect of using a large language model to respond to patient messages	12
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study	12
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation	12
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	12
Artificial intelligence deployment in diabetic retinopathy: the last step of the translation continuum	12
A nomogram for use of non-invasive respiratory strategies in COVID-19	12
Limitations of the new ISO standard for health and wellness apps	12
CT scan AI-aided triage for patients with COVID-19 in China	12
Ethnic bias in data linkage	12
Data provenance and integrity of health-care systems data for clinical trials	11
Leveraging electronic medical record-embedded standardised electroencephalogram reporting to develop neonatal seizure prediction models: a retrospective cohort study	11
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study	11
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study	11
The association of community mobility with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 330 local UK authorities	11
Real-world validation of artificial intelligence algorithms for ophthalmic imaging	11
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study	11
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study	11
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation	11
Conditions required for the artificial-intelligence-based computer-aided detection of tuberculosis to attain its global health potential	11
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening	11
Disparity dashboards: an evaluation of the literature and framework for health equity improvement	11
Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit–harm modelling study	10
Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study	10