Lancet Digital Health

Papers
(The H4-Index of Lancet Digital Health is 63. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
FAIR, ethical, and coordinated data sharing for COVID-19 response: a scoping review and cross-sectional survey of COVID-19 data sharing platforms and registries650
Correction to Lancet Digit Health 2021; 3: e577–86471
Artificial intelligence in medicine and the pursuit of environmentally responsible science370
Automated external defibrillator drones and their role in emergency response357
COP27 Climate Change Conference: urgent action needed for Africa and the world284
Accelerating action for gender equality in health270
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation262
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study235
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 delivery202
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study187
Challenges for augmenting intelligence in cardiac imaging185
Advancing digital health applications: priorities for innovation in real-world evidence generation182
Enhancing systematic review with machine learning modelling for global health research181
A deep-learning model to assist thyroid nodule diagnosis and management176
Can technology increase COVID-19 vaccination rates?175
Thank you to The Lancet Digital Health's clinical and statistical peer reviewers in 2021173
Holding artificial intelligence to account170
Retraction remedy: a resource for transparent science170
Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients under168
Digital technology and new care pathways will redefine the cardiovascular workforce152
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 communities147
A comprehensive deep-learning model for interpreting chest x-rays142
Targeting respiratory syncytial virus vaccination using individual prediction140
Technology for world elimination of neglected tropical diseases135
A deep-learning-enabled diagnosis of ovarian cancer133
ChatGPT for digital pathology research128
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis126
Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China123
Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm123
Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence122
Balancing AI innovation with patient safety116
Deep learning for automated bowel preparation assessment during colonoscopy: time to embrace a new approach?110
Ethnic bias in data linkage104
A deep-learning-enabled diagnosis of ovarian cancer – Authors' reply103
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study102
AI models in health care are not colour blind and we should not be either102
AI for mammography screening: enter evidence from prospective trials102
Telemedical cardiac risk assessment by implantable cardiac monitors in patients after myocardial infarction with autonomic dysfunction (SMART-MI-DZHK9): a prospective investigator-initiated, randomise98
Using routine health-care data to search for unknown transfusion-transmitted disease: a nationwide, agnostic retrospective cohort study98
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, multicent96
Wearable devices: underrepresentation in the ageing society95
Vaccines for pregnant people: are we missing the forest for the trees?93
The urgent need to accelerate synthetic data privacy frameworks for medical research91
Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world90
Using artificial intelligence technologies to improve skin cancer detection in primary care90
The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review83
Artificial Intelligence in cancer pathology—hope or hype?82
Generative Pre-trained Transformer 4 (GPT-4) in clinical settings81
Improving digital study designs: better metrics, systematic reporting, and an engineering mindset81
Menstrual irregularities and vaginal bleeding after COVID-19 vaccination reported to v-safe active surveillance, USA in December, 2020–January, 2022: an observational cohort study79
Challenges of detecting childhood diabetes in primary care78
Machine learning to predict type 1 diabetes in children78
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial73
Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data73
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial72
Correction to Lancet Digit Health 2023; 5: e446–5770
Correction to Lancet Digit Health 2023; 5: e400–0269
Challenges of AI-based pulmonary function estimation from chest x-rays69
Correction to Lancet Digit Health 2024; 6: e791–80265
Artificial intelligence to complement rather than replace radiologists in breast screening64
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution63
0.13905119895935