| # | Title | Journal | Year | Citations |
|---|
| 1 | A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis | The Lancet Digital Health | 2019 | 930 |
| 2 | Applications of digital technology in COVID-19 pandemic planning and response | The Lancet Digital Health | 2020 | 632 |
| 3 | What social media told us in the time of COVID-19: a scoping review | The Lancet Digital Health | 2021 | 462 |
| 4 | The false hope of current approaches to explainable artificial intelligence in health care | The Lancet Digital Health | 2021 | 415 |
| 5 | Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study | The Lancet Digital Health | 2020 | 406 |
| 6 | Artificial intelligence in COVID-19 drug repurposing | The Lancet Digital Health | 2020 | 349 |
| 7 | COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread | The Lancet Digital Health | 2020 | 290 |
| 8 | Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis | The Lancet Digital Health | 2021 | 277 |
| 9 | ChatGPT: the future of discharge summaries? | The Lancet Digital Health | 2023 | 274 |
| 10 | 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 Invasive Respiratory Infection Surveillance Initiative: a prospective analysis of surveillance data | The Lancet Digital Health | 2021 | 260 |
| 11 | Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19 | The Lancet Digital Health | 2020 | 244 |
| 12 | Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study | The Lancet Digital Health | 2020 | 240 |
| 13 | Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data | The Lancet Digital Health | 2020 | 233 |
| 14 | Building trust while influencing online COVID-19 content in the social media world | The Lancet Digital Health | 2020 | 228 |
| 15 | 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 | The Lancet Digital Health | 2020 | 227 |
| 16 | Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study | The Lancet Digital Health | 2020 | 224 |
| 17 | Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid | The Lancet Digital Health | 2020 | 223 |
| 18 | Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study | The Lancet Digital Health | 2021 | 220 |
| 19 | Clinical features of COVID-19 mortality: development and validation of a clinical prediction model | The Lancet Digital Health | 2020 | 218 |
| 20 | The myth of generalisability in clinical research and machine learning in health care | The Lancet Digital Health | 2020 | 217 |
| 21 | Generating scholarly content with ChatGPT: ethical challenges for medical publishing | The Lancet Digital Health | 2023 | 209 |
| 22 | The online anti-vaccine movement in the age of COVID-19 | The Lancet Digital Health | 2020 | 208 |
| 23 | Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study | The Lancet Digital Health | 2021 | 208 |
| 24 | Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study | The Lancet Digital Health | 2019 | 205 |
| 25 | A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service | The Lancet Digital Health | 2019 | 192 |
| 26 | A real-time dashboard of clinical trials for COVID-19 | The Lancet Digital Health | 2020 | 192 |
| 27 | COVID-19 and the digital divide in the UK | The Lancet Digital Health | 2020 | 189 |
| 28 | 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 | The Lancet Digital Health | 2020 | 187 |
| 29 | A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial | The Lancet Digital Health | 2020 | 186 |
| 30 | Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study | The Lancet Digital Health | 2019 | 183 |
| 31 | An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study | The Lancet Digital Health | 2020 | 163 |
| 32 | A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability | The Lancet Digital Health | 2021 | 153 |
| 33 | Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study | The Lancet Digital Health | 2020 | 152 |
| 34 | An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction | The Lancet Digital Health | 2019 | 148 |
| 35 | Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomised controlled crossover trial | The Lancet Digital Health | 2019 | 146 |
| 36 | Suicide prevention using self-guided digital interventions: a systematic review and meta-analysis of randomised controlled trials | The Lancet Digital Health | 2020 | 145 |
| 37 | AI recognition of patient race in medical imaging: a modelling study | The Lancet Digital Health | 2022 | 141 |
| 38 | Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension | The Lancet Digital Health | 2020 | 135 |
| 39 | Deriving a practical framework for the evaluation of health apps | The Lancet Digital Health | 2019 | 133 |
| 40 | Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study | The Lancet Digital Health | 2021 | 133 |
| 41 | Vaccine misinformation and social media | The Lancet Digital Health | 2019 | 131 |
| 42 | A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations | The Lancet Digital Health | 2020 | 130 |
| 43 | Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints | The Lancet Digital Health | 2020 | 128 |
| 44 | 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 retrospective study | The Lancet Digital Health | 2021 | 128 |
| 45 | Predicting the risk of developing diabetic retinopathy using deep learning | The Lancet Digital Health | 2021 | 127 |
| 46 | Time to reality check the promises of machine learning-powered precision medicine | The Lancet Digital Health | 2020 | 126 |
| 47 | Using ChatGPT to write patient clinic letters | The Lancet Digital Health | 2023 | 126 |
| 48 | ChatGPT: friend or foe? | The Lancet Digital Health | 2023 | 125 |
| 49 | Online health survey research during COVID-19 | The Lancet Digital Health | 2021 | 123 |
| 50 | Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study | The Lancet Digital Health | 2020 | 122 |
