Submissions

Articles

Original Research Article

Original Research Articles report novel and scientifically rigorous research in artificial intelligence, robotics, digital health, and emerging technologies relevant to medicine and healthcare.

Manuscripts should present a clearly defined research question or hypothesis, appropriate study design and methodology, transparent statistical or computational analyses, clearly reported results, and a balanced discussion of the findings, limitations, and clinical or scientific implications.

Studies involving artificial intelligence or machine learning should provide sufficient detail regarding data sources, participant or dataset selection, data preprocessing, model development, training and validation procedures, performance metrics, and measures taken to minimize bias, overfitting, and data leakage. Independent external validation is encouraged where appropriate.

Authors should follow the reporting guideline appropriate to the study design, including CONSORT, STROBE, STARD, TRIPOD+AI, CONSORT-AI, SPIRIT-AI, or other relevant guidelines, where applicable.

Studies involving human participants, identifiable human data, or animals must comply with applicable ethical standards. Ethical approval, informed consent, trial registration, and other regulatory requirements must be clearly reported where applicable.

Authors are encouraged to promote transparency and reproducibility by providing access to study protocols, datasets, source code, algorithms, and other relevant materials whenever ethical, legal, and confidentiality requirements permit.

Original Research Articles undergo external peer review and must comply with JAIROM's policies on research integrity, authorship, conflicts of interest, data transparency, and publication ethics.

Review Article

Review Articles provide comprehensive, critical, and evidence-informed syntheses of current knowledge on topics within the scope of artificial intelligence, robotics, digital health, and emerging technologies in medicine and healthcare.

Review Articles should go beyond a descriptive summary of the literature and provide critical analysis, identify current limitations and knowledge gaps, discuss methodological and clinical challenges, and highlight future directions for research and clinical implementation.

Authors should clearly describe the scope and objectives of the review and, where appropriate, provide information regarding the literature search and selection process. Reviews employing a formal systematic review or meta-analytic methodology should be submitted to the Systematic Review and Meta-Analysis section.

Reviews addressing artificial intelligence or machine learning should critically consider issues such as dataset quality, validation, generalizability, bias, reproducibility, clinical utility, interpretability, and ethical or regulatory implications where relevant.

Review Articles undergo external peer review and must comply with JAIROM's policies on authorship, conflicts of interest, research integrity, and publication ethics.

Systematic Review and Meta-Analysis

Systematic reviews and meta-analyses should be prepared and reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Authors should submit the completed PRISMA checklist and flow diagram, where applicable.

Prospective registration of systematic review protocols in PROSPERO or another appropriate publicly accessible registry is strongly encouraged. If the review has been registered, the registration number should be provided in the manuscript. If no prospective registration was performed, authors should state this and, where appropriate, provide an explanation.

Submitted manuscripts should clearly describe the search strategy, eligibility criteria, study selection process, data extraction methods, risk-of-bias assessment, and methods of evidence synthesis. Meta-analyses should report the statistical methods used, assessment of heterogeneity, and appropriate measures of effect with confidence intervals.

Technical / Methodological Article

Technical / Methodological Articles present novel or substantially improved methods, techniques, algorithms, computational approaches, artificial intelligence models, robotic systems, software tools, datasets, or technological frameworks relevant to medicine and healthcare.

Manuscripts should clearly describe the rationale, development process, technical methodology, implementation, and evaluation of the proposed approach. Where applicable, authors should provide appropriate validation, benchmarking against existing methods, performance metrics, statistical analyses, and sufficient methodological detail to support reproducibility.

Studies involving artificial intelligence or machine learning should clearly describe the data sources, dataset characteristics, preprocessing procedures, model development, training and validation strategies, performance metrics, and measures taken to minimize bias and data leakage. External validation is encouraged where appropriate.

Authors are encouraged to make source code, algorithms, datasets, protocols, or other relevant materials publicly available whenever ethical, legal, and confidentiality requirements permit. Appropriate reporting guidelines should be followed when applicable.

Clinical Validation Study

Clinical Validation Studies evaluate the performance, reliability, safety, generalizability, or clinical utility of artificial intelligence models, robotic systems, digital health technologies, or other computational tools using clinically relevant data or settings.

Manuscripts should clearly describe the study population, clinical setting, data sources, eligibility criteria, reference standard, validation design, outcome measures, and statistical methods. Authors should report appropriate measures of model or system performance together with confidence intervals where applicable.

For artificial intelligence and machine-learning studies, authors should clearly distinguish between training, tuning/internal validation, and test datasets and describe measures taken to prevent data leakage and inappropriate overlap between datasets. Independent external validation is strongly encouraged when appropriate.

Studies evaluating diagnostic or prognostic models should follow relevant reporting guidelines, such as STARD-AI, TRIPOD+AI, CONSORT-AI, or SPIRIT-AI, where applicable. Clinical trials should be prospectively registered in an appropriate publicly accessible trial registry.

Authors should discuss clinical applicability, limitations, potential sources of bias, generalizability, and the implications of the findings for patient care. Ethical approval and informed consent requirements must be reported where applicable.

Short Communication

Short Communications are concise reports of original and timely research findings in artificial intelligence, robotics, digital health, and related technologies in medicine and healthcare. They are intended for studies that provide scientifically relevant findings but are more focused in scope than a full Original Research Article.

Manuscripts should present a clearly defined research question, appropriate methodology, key results, and a concise discussion of the clinical or scientific significance of the findings. Preliminary findings may be considered when they provide substantial novelty or potential impact; however, purely descriptive or insufficiently validated studies will not normally be considered.

Studies involving artificial intelligence or machine learning should provide sufficient information regarding data sources, model development or evaluation, validation strategy, performance metrics, and potential sources of bias to permit appropriate scientific assessment.

Short Communications are subject to the same standards of peer review, research ethics, transparency, conflict-of-interest disclosure, and scientific integrity as Original Research Articles.

Case Report

Case Reports describe clinically important, novel, or educational cases involving the application, performance, limitations, complications, or unexpected outcomes of artificial intelligence, robotic systems, digital health technologies, or other emerging technologies in medicine and healthcare.

Case Reports should provide a clear clinical context and demonstrate a meaningful contribution to the understanding, evaluation, or clinical use of the technology concerned. Reports describing routine clinical cases without a substantial artificial intelligence, robotics, or digital health component will not normally be considered.

Manuscripts should be prepared in accordance with the CARE reporting guidelines, where applicable, and should include relevant clinical information, the technological intervention or application, outcomes, and a focused discussion of the clinical and scientific implications.

Written informed consent for publication must be obtained from the patient or the patient's legally authorized representative when required. Authors must ensure that all identifying information is appropriately removed or anonymized. Ethical approval requirements should be reported in accordance with institutional and national regulations.

Case Reports are subject to peer review and must comply with the journal's policies on research ethics, patient privacy, conflicts of interest, and scientific integrity.

Letter to Editor

Letters to the Editor provide concise, scholarly comments on articles recently published in JAIROM or address timely and relevant issues related to artificial intelligence, robotics, digital health, and emerging technologies in medicine and healthcare.

Letters should present a clear and focused argument supported by appropriate scientific evidence. Letters commenting on a published JAIROM article should identify the article concerned and should preferably be submitted within a reasonable period following its publication. When appropriate, the authors of the original article may be invited to submit a response.

Letters should not contain extensive original research data and should not be used primarily to promote commercial products, services, software, or technologies.

All Letters are subject to editorial assessment and may undergo external peer review at the discretion of the editors. Authors must disclose relevant conflicts of interest and comply with the journal's policies on publication ethics and scientific integrity.

Editorial

Editorials present authoritative perspectives, commentary, or critical insights on important and timely developments in artificial intelligence, robotics, digital health, and emerging technologies in medicine and healthcare. Editorials may also address issues related to research methodology, clinical implementation, ethics, regulation, education, or scientific publishing within the scope of JAIROM.

Editorials are generally commissioned or invited by the Editor-in-Chief or Editorial Board. Unsolicited Editorials may be considered at the discretion of the editors.

Editorials should provide a concise, balanced, and evidence-informed perspective and should not primarily promote commercial products, services, organizations, or technologies. Authors must disclose all relevant conflicts of interest.

Editorials are primarily subject to editorial review and may undergo external peer review when deemed appropriate by the Editor-in-Chief.