Health Nexus: Digital Health and Medical AI publishes a range of scholarly article types addressing digital health, medical artificial intelligence, clinical informatics, health data science, and technology-enabled healthcare. Submissions must be original, methodologically sound, ethically compliant, and relevant to the journal’s aims and scope.

Original Research Articles

Original Research Articles report previously unpublished empirical research. They may present clinical, technical, computational, public-health, behavioral, organizational, or policy-related studies involving digital health technologies or medical artificial intelligence.

Relevant study designs may include clinical trials, observational studies, diagnostic or prognostic studies, algorithm-development and validation studies, usability studies, implementation studies, qualitative research, mixed-methods research, and population-level analyses.

Review Articles

Review Articles provide critical and comprehensive syntheses of established or emerging areas in digital health and medical AI. Reviews should identify major developments, methodological limitations, unresolved questions, and priorities for future research rather than merely summarize existing literature.

Systematic Reviews and Meta-Analyses

Systematic Reviews and Meta-Analyses synthesize evidence using transparent, reproducible, and methodologically rigorous procedures. Authors should follow an appropriate reporting guideline, provide a complete search strategy, describe eligibility and quality-assessment methods, and report protocol registration where applicable.

Methodological Articles

Methodological Articles introduce, evaluate, or refine research methods relevant to digital medicine, clinical informatics, medical AI, health data science, and technology assessment. Submissions should clearly explain the methodological contribution, validation process, limitations, and potential applications.

Technical and Software Articles

Technical and Software Articles describe the development, validation, or implementation of digital health platforms, clinical software, artificial-intelligence systems, algorithms, data infrastructures, decision-support tools, or other healthcare technologies.

Authors should provide sufficient technical and methodological information to support evaluation and reproducibility. Where legally and ethically permissible, source code, model documentation, datasets, or other relevant materials should be made available through an appropriate repository.

Implementation and Evaluation Studies

Implementation and Evaluation Studies examine the introduction, adoption, effectiveness, scalability, sustainability, or real-world impact of digital health and medical AI interventions. These articles may address clinical workflows, organizational change, user acceptance, cost-effectiveness, health-system integration, or barriers and facilitators to implementation.

Protocols

Protocol Articles describe planned clinical trials, systematic reviews, observational studies, implementation studies, or other substantial research projects relevant to the journal. Protocols should present a clear research rationale, prespecified methods, ethical considerations, analysis plan, and registration information where applicable.

Case Studies

Case Studies provide detailed analyses of distinctive clinical, institutional, technological, policy, or implementation experiences. They should offer transferable insights rather than merely describe a local project or isolated event.

Perspectives

Perspectives present evidence-informed arguments, conceptual analyses, or forward-looking interpretations of important developments in digital health and medical AI. They should articulate a clear position, engage critically with relevant scholarship, and contribute an original viewpoint.

Commentaries

Commentaries provide focused discussion of a topical issue, recently published research, emerging controversy, policy development, or technological innovation. Commentaries should be concise, analytically substantive, and supported by relevant evidence.

Editorials

Editorials address issues of strategic importance to the journal and its scholarly community. They are generally written or commissioned by members of the editorial team. Editorials may not undergo external peer review, but they remain subject to editorial assessment and publication-ethics requirements.

Letters to the Editor

Letters to the Editor offer concise scholarly responses to articles published in the journal or discuss a narrowly defined issue within the journal’s scope. Letters should be constructive, evidence-based, and directly relevant to the subject under discussion.

Detailed requirements concerning manuscript structure, reporting standards, data availability, ethical approval, authorship, references, and supplementary materials are provided in the journal’s Author Guidelines. The editorial team may request that a submission be considered under a different article type when its content or structure more closely corresponds to another category.