Publishing Policies

A "how-to" paper on an important practical or research issue. We recommend contacting the editor to discuss suitability of a topic before submitting it. Submission of slides or audio/video files as supplementary files is strongly recommended.

Application of AI in industry, for example, for drug discovery and clinical trials

Theoretical innovations in AI, contextualized in real world applications.

Research Letters present new, early, or preliminary research findings. The text should use standard research headings of Introduction, Methods, Results, and Discussion and should be no longer than 750 words, with a maximum of 10 references and 2 tables or figures. The APF for Research Letters accepted after peer review is lower than the standard APF.

For corrigenda that are discretionary and a result of author-oversight (e.g., corrections in the affiliation etc.) we charge a $190 processing fee to make changes in the original paper and publish an erratum. Please submit a correction statement (text similar to http://www.jmir.org/2015/3/e76/) at http://www.jmir.org/author/submit/1 under the section "Discretionary Corrigenda".

This section lists all substantive corrections, additions or changes made to articles and reviews subsequent to their first publication in the journal. Corrigenda are usually submitted by the corresponding author of the original article, or the section editor. Published papers are considered "final", thus JMIR makes corrections to published papers only in exceptional circumstances. Note that while we do not charge to correct errata that are the responsibility of the publisher, we charge a $190 fee for discretionary corrigenda and addenda (please submit a correction under that section, if it is the authors' responsibility/decision to correct or add information to a already published article).

This section covers foundational principles of AI in biomedicine, including data structures, ontologies, and algorithms.

This section covers applications of AI in biomedicine and the evaluation of such technology in practice and simulation.

This section covers the ethical, legal, regulatory and social implications for the design, implementation, and application of AI in biomedicine.

This section covers the development of foundation models based on biomedical data, as well as how these models support AI-driven applications in healthcare.

This section addresses societal aspects of AI with respect to health, such as trustworthiness, equity, and privacy issues.

This section covers AI methods for synthetic health data generation, as well as its evaluation in practice.

This section spotlights the relationship between AI in health, the governance mechanisms needed to apply it, as well as the procedural aspects of managing it.