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The 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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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

The 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or fewer, list the first three followed by et al when there are seven or more, and place personal communications and unpublished work in the text rather than the reference list.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

Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study

Henning Nilius, Jonas Kaufmann, Marcel Adler, Fabrizio Minervini, Anna Wieland Greguare-Sander, Lorenzo Alberio, Bernhard Gerber, Dino Kröll, Sajitha Veerakatty, Alexander Kashev, Sigve Haug, Thomas C Sauter, Andreas Koster, Gabor Erdoes, Janna Hastings, Jerrold H Levy, Christos Nakas, Michael Nagler

10.1016/j.landig.2026.101019
View Publication

Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review

João Matos, Ben Van Calster, Leo Anthony Celi, Paula Dhiman, Judy Wawira Gichoya, Richard D Riley, Chris Russell, Sara Khalid, Gary S Collins

10.1016/j.landig.2026.101001
View Publication

Sustainability of large-scale artificial intelligence models in health care

Raghavendra Selvan

10.1016/j.landig.2026.101016
View Publication

Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study

Anna Zapaishchykova, John Zielke, Divyanshu Tak, Juan Carlos Climent Pardo, Reza Mojahed-Yazdi, Carmen L Soto-Rivera, Kevin X Liu, Anurag Saraf, Zezhong Ye, Wei Wang, Yu-Hui Chen, Sridhar Vajapeyam, Raymond H Mak, Sabine Mueller, Ali Nabavizadeh, Rebekah L Wilson, Christina M Dieli-Conwright, Keith L Ligon, Daphne A Haas-Kogan, Hugo J W L Aerts, Tina Y Poussaint, Viviana Benitez, Susan N Chi, Benjamin H Kann

10.1016/j.landig.2025.100973
View Publication

Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research

Ariel Yuhan Ong, David A Merle, Nigam H Shah, Yih Chung Tham, Tien Yin Wong, Pearse A Keane

10.1016/j.landig.2026.100982
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