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Lancet Digital Health

The Lancet Digital Health is a journal focused on digital research in health and medicine. It publishes article types including Articles, Reviews, Comments, and Viewpoints, offers manuscript submission through Editorial Manager, and highlights journal metrics including an Impact Factor of 24.1, a CiteScore of 38.4, and a 5-Year Impact Factor of 27.6.

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Subject Medical Informatics, Medicine, General & Internal
Impact Factor 24.1
Quartile Q1
Open Access Type Hybrid
eISSN 2589-7500
Invitation Only No
Cost Range Submission is free. An article processing charge is payable upon acceptance for all full-length peer-reviewed article types; discounts and waivers are available.

Submission Instructions

Lancet Digital Health accepts the following article types. Click on an article type to view submission instructions.

Articles

Cover Letter A covering letter must be included with the submission. The cover letter must be uploaded at the Enter Comments stage, and revised submissions must include detailed responses to reviewers’ comments.
Abstract Articles must include an abstract. The abstract must be no more than 300 words. The abstract must be semistructured. The abstract must contain five paragraphs headed Background, Methods, Findings, Interpretation, and Funding.
Manuscript Articles should be up to 3500 words, although randomised controlled trial Articles may be up to 4500 words. Primary research Articles must include a Research in context panel, and reports of randomised trials must include a Randomisation and masking section within the Methods section. The manuscript must include a Research in context panel with Evidence before this study, Added value of this study, and Implications of all the available evidence sections and no references, plus declaration of interests, funding-role, author-contributions, AI-use disclosure if applicable, and data sharing statements at the end of the text.
References Articles should include no more than 30 references. References must use Vancouver numbering style with superscript citation numbers. References must be cited sequentially, list all authors when there are six or fewer, list the first three followed by et al when there are seven or more, and place personal communications and unpublished work in the text rather than the reference list.
Figures & Tables First submissions should include the manuscript including tables and panels, and figures should be submitted with the first submission. Numbers must be provided in text and tables whenever percentages are shown, and Kaplan-Meier survival figures must include numbers at risk at each timepoint.
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Reviews

Cover Letter A covering letter must be uploaded with the submission.
Abstract Reviews must include an abstract. The abstract must be no more than 150 words. The abstract must be unstructured.
Manuscript The manuscript must be no more than 4500 words. The manuscript must include a brief section entitled "Search strategy and selection criteria". If generative AI technology was used in developing the Review, its use must be described in the methods section with the tool, version, and prompts where applicable, and declaration of interests and source of funding statements must be included at the end of the text.
References Reviews may include a maximum of 75 references. References must use Vancouver numbering style. References must be cited sequentially in the text as superscript numbers after punctuation marks, list all authors when there are six or fewer and the first three followed by et al when there are seven or more, and must not appear in the Search strategy and selection criteria panel.
Figures & Tables First submissions should include the manuscript with tables and panels and should include figures.
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Correspondence

Cover Letter A covering letter must be uploaded with the submission.
Abstract Abstract requirements are not specified.
Manuscript Correspondence must be no longer than 400 words. Correspondence letters should be written in response to previous content published in the journal and submitted within 8 weeks of publication of the original item.
References Correspondence should include no more than five references. References must use Vancouver numbering style with superscripted numbers cited sequentially in the text. List all authors when there are six or fewer, list the first three followed by et al when there are seven or more, and include a URL plus access date for online material.
Figures & Tables Only one table or figure is permitted.
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Recent Publications

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study

Lintong Yao, Linghan Cai, Maotao Weng, Qiaxuan Li, Fengchun Liu, Yingwei Lu, Jiawen Cui, Hongwei Lin, Henian Yao, Daipeng Xie, Shaowei Wu, Luyu Huang, Canjia Cai, Yu Lei, Ruihao Xie, Qi Zhang, Minjian Li, Weijie Zhan, Fasheng Li, Wenxin Zeng, Fanjun Zeng, Haihui Zhong, Zhu Liang, Jinchi Dai, Boyu Lin, Dongkun Zhang, Baozhen Zeng, Guangyi Wang, Lawrence Wing-Chi Chan, Michael Lanuti, Guibin Qiao, Cheng Lu, Zaiyi Liu, Qingling Zhang, Yongbing Zhang, Haiyu Zhou

10.1016/j.landig.2025.100965
View Publication

ChatGPT for obesity management: a review of evidence, potential challenges, and clinical implications

Mohamad Motevalli, Brunna Boaventura, Fatima Cody Stanford

10.1016/j.landig.2026.100980
View Publication

Joint probability framework for the development and validation of a prognostic model for the conditional outcome of quality of life: a retrospective study in historical European cohorts of survivors of head and neck cancer

Mauricio Moreira-Soares, Erlend I F Fossen, Aritz Bilbao-Jayo, Aitor Almeida, Laura Lopez-Perez, Itziar Alonso, Maria Fernanda Cabrera-Umpierrez, Giuseppe Fico, Susanne Singer, Katherine J Taylor, Steve Thomas, Miranda Pring, Lisa Licitra, Stefano Cavalieri, Arnoldo Frigessi, Marissa LeBlanc

10.1016/j.landig.2025.100976
View Publication

Ischaemic stroke recurrence in patients with symptomatic intracranial atherosclerotic stenosis in China (PROMISE): a multivariable prediction model development and validation study

Chengbei Hou, Xiao Dong, Yuanyuan Liu, Xin Ma, Xiuhai Guo, Chunxiu Wang, Xuehong Chu, Jiaqi Luo, Wanwan Zhang, Erlan Yu, Chuanhui Li, Chen Zhou, Xunming Ji, Chuanjie Wu

10.1016/j.landig.2026.100989
View Publication

Can large language models help young researchers develop new clinical research ideas?

Yahan Yang, Danqi Zeng, Xinwei Chen, Lanqin Zhao, Shaowei Bi, Zhangkai Lian, You Li, Wangting Li, Zheming Zhang, Carol Y Cheung, Christopher Kai-shun Leung, Ki Ho Park, Kyoko Ohno-Matsui, Bin Sheng, Shamira Perera, Marcus Ang, Ching-Yu Cheng, Seang Mei Saw, Pearse A Keane, Zhuoting Zhu, Jost B Jonas, Yaxing Wang, Haotian Lin, Tien Yin Wong

10.1016/j.landig.2026.100983
View Publication

Frequently asked questions

How long does it take to publish?

Fast-track peer review for research articles can result in online publication within 4–8 weeks.

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Is a cover letter required?

A covering letter should be uploaded at the Enter Comments stage of online submission and should explain why the paper should be published in The Lancet Digital Health rather than elsewhere.

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What are the publication costs?

Research Topics

Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging COVID-19 diagnosis using AI Mobile Health and mHealth Applications Machine Learning in Healthcare AI in cancer detection Telemedicine and Telehealth Implementation Digital Mental Health Interventions Retinal Imaging and Analysis COVID-19 epidemiological studies Ethics in Clinical Research Data-Driven Disease Surveillance COVID-19 Clinical Research Studies Lung Cancer Diagnosis and Treatment COVID-19 and healthcare impacts COVID-19 Digital Contact Tracing Health Systems, Economic Evaluations, Quality of Life Artificial Intelligence in Healthcare Sepsis Diagnosis and Treatment Retinal and Optic Conditions Retinal Diseases and Treatments Colorectal Cancer Screening and Detection Diabetes Management and Research Healthcare Systems and Public Health SARS-CoV-2 and COVID-19 Research

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