About JAIMS
The Journal of AI-Integrated Medical Sciences (JAIMS) is an international, peer-reviewed, open-access medical sciences journal dedicated to advancing evidence-based healthcare through rigorous research, critical evaluation, and responsible application of artificial intelligence (AI). The journal is designed around a medical sciences foundation, with artificial intelligence serving as its principal scientific specialization.
JAIMS provides a scholarly platform for researchers, clinicians, healthcare professionals, public health practitioners, biomedical scientists, data scientists, and interdisciplinary investigators working at the intersection of medicine, healthcare, and artificial intelligence. The journal publishes research examining how AI-enabled technologies can contribute to diagnosis, prevention, treatment, monitoring, prognosis, clinical decision-making, patient safety, healthcare delivery, and health outcomes.
The journal places particular emphasis on clinically meaningful evidence. AI systems are not evaluated solely on computational performance; rather, JAIMS seeks research demonstrating whether and how AI contributes to meaningful medical, clinical, public health, or healthcare outcomes. The journal therefore welcomes evidence addressing effectiveness, diagnostic and prognostic performance, safety, reliability, validation, implementation, usability, reproducibility, equity, ethics, and real-world clinical impact.
Editorial Mission
JAIMS aims to strengthen the scientific evidence base surrounding artificial intelligence in medicine and healthcare. The journal supports rigorous investigation of both the opportunities and limitations of AI-enabled approaches and encourages research that moves beyond proof-of-concept demonstrations toward clinically relevant validation, implementation, evaluation, and real-world application.
The journal is committed to promoting research that is scientifically rigorous, methodologically transparent, ethically responsible, clinically relevant, and reproducible. JAIMS welcomes positive, negative, and null findings when they provide meaningful evidence regarding the effectiveness, limitations, safety, reliability, or appropriate use of AI in healthcare.
Medical Sciences First, with Artificial Intelligence as the Scientific Specialization
The defining principle of JAIMS is that the medical or healthcare significance of research takes precedence over computational novelty alone. Manuscripts should demonstrate how an AI-enabled approach addresses a meaningful medical, clinical, public health, or healthcare problem. The journal therefore prioritizes evidence concerning diagnosis, treatment, prevention, patient safety, clinical decision-making, healthcare delivery, health outcomes, and health system performance.
Scientific Focus
JAIMS covers a broad spectrum of medical and healthcare research involving artificial intelligence, machine learning, generative AI, large language models, multimodal AI, natural language processing, computer vision, predictive modelling, clinical decision-support systems, and related technologies.
Its scientific focus extends from clinical and translational research to public health, healthcare systems, implementation science, medical education, health services research, ethics, health equity, and responsible AI. Research may involve prospective or retrospective clinical studies, clinical trials, diagnostic and prognostic studies, real-world evidence, systematic reviews, meta-analyses, methodological studies, validation studies, research protocols, and other scientifically rigorous forms of scholarly investigation.
Clinical and Translational Relevance
JAIMS seeks to facilitate the translation of artificial intelligence research into meaningful medical and healthcare applications. Accordingly, the journal values research that evaluates AI in realistic clinical or healthcare environments and considers generalizability, external validation, clinical utility, patient outcomes, implementation feasibility, safety, and sustainability.
Studies based on electronic health records, clinical databases, imaging repositories, public datasets, and other secondary data sources may be considered when they address substantive medical or healthcare questions and demonstrate appropriate methodological rigor, validation, reproducibility, and clinical significance.
Multidisciplinary Character
JAIMS adopts a broad, pan-medical and interdisciplinary perspective. The journal welcomes research across internal medicine, surgery, cardiology, neurology, oncology, pulmonology, gastroenterology, nephrology, urology, endocrinology, infectious diseases, rheumatology, hematology, pediatrics, obstetrics and gynecology, psychiatry, dermatology, ophthalmology, otorhinolaryngology, emergency and critical care medicine, anesthesiology, geriatrics, rehabilitation, family medicine, dentistry, nursing, allied health sciences, public health, and preventive medicine. Interdisciplinary research involving epidemiology, biostatistics, informatics, health economics, ethics, implementation science, health policy, and related disciplines is welcomed when it has clear medical or healthcare significance.
Responsible and Ethical AI
Responsible use of artificial intelligence is a central consideration of the journal. JAIMS welcomes research addressing patient autonomy, informed consent, privacy and confidentiality, data governance, algorithmic bias, fairness, health equity, transparency, interpretability, accountability, human oversight, regulatory considerations, and the ethical implications of AI-enabled healthcare.
The journal recognizes that technical performance alone does not establish clinical value. Research should, where applicable, consider potential harms, uncertainty, failure modes, limitations, bias, population differences, and the consequences of deploying AI within real healthcare environments.
Open Access and Accessibility
JAIMS follows an open-access publishing model intended to facilitate broad and immediate access to scholarly research. Published research is made available to readers without subscription barriers, supporting dissemination among researchers, clinicians, healthcare professionals, policymakers, educators, and other stakeholders. The journal supports the responsible sharing and reuse of scholarly knowledge in accordance with the applicable licensing terms associated with each publication.
Peer Review and Editorial Independence
JAIMS applies a rigorous peer review and editorial assessment process designed to evaluate scientific quality, methodological rigor, originality, clinical relevance, ethical integrity, transparency, and contribution to medical and healthcare knowledge. Research articles requiring external scientific evaluation are assessed by qualified reviewers with appropriate subject expertise.
Editorial decisions are based on the scientific and medical merits of submitted work. The journal is committed to editorial independence, confidentiality, fairness, and the responsible management of conflicts of interest throughout the publication process.
Research Integrity and Publication Ethics
JAIMS is committed to maintaining high standards of research integrity and publication ethics. The journal expects authors, editors, and reviewers to uphold principles of honesty, transparency, accountability, confidentiality, appropriate attribution, responsible reporting, and disclosure of relevant conflicts of interest. Concerns involving plagiarism, duplicate publication, fabrication, falsification, manipulation of research findings, authorship misconduct, undisclosed conflicts, or other forms of publication misconduct are addressed through appropriate editorial procedures.
Advancing Evidence-Based AI in Medicine
JAIMS seeks to contribute to a mature evidence base for artificial intelligence in medicine by encouraging rigorous evaluation rather than technology-driven claims alone. The journal is particularly interested in research that identifies when AI improves healthcare, when it does not, under which circumstances it can be safely implemented, and what conditions are necessary for its effective use.
Through this approach, JAIMS aims to support the responsible translation of emerging technologies into clinical practice while maintaining scientific rigor, patient safety, transparency, equity, and respect for the principles of evidence-based medicine.
Scholarly Community
JAIMS serves an international scholarly community comprising clinicians, medical researchers, healthcare professionals, biomedical scientists, epidemiologists, public health researchers, statisticians, health informaticians, artificial intelligence researchers, data scientists, implementation scientists, health economists, ethicists, policymakers, educators, and other investigators engaged in advancing medical and healthcare knowledge through responsible innovation.
Rigorous Medicine. Responsible Artificial Intelligence.
JAIMS is founded on the principle that artificial intelligence should serve meaningful medical and healthcare objectives. The journal is committed to publishing rigorous evidence that advances understanding of how AI can improve diagnosis, treatment, prevention, patient safety, clinical decision-making, healthcare delivery, and health outcomes while recognizing its limitations, risks, and ethical responsibilities.
