(Toronto, October 1, 2026) JMIR Publications invites submissions to a new section in JMIR Cardio titled “ Generative and Multimodal AI in Digital Cardiovascular Medicine .” The premier peer-reviewed journal is indexed in PubMed, PubMed Central (PMC), Sherpa Romeo, DOAJ, MEDLINE, CABI, and Scopus. JMIR Cardio has met the editorial criteria for inclusion in the Web of Science™ Core Collection journals.
This section will publish peer-reviewed, time-sensitive research on innovations, challenges, and open questions at the intersection of AI and cardiology.
Cardiovascular diseases remain the leading cause of mortality across the world [1]. Generative and multimodal AI may improve diagnostic accuracy, clinical efficiency, access to expertise, and patient care. However, demonstrating technical performance alone is insufficient to establish clinical value. Responsible implementation requires rigorous validation, appropriate governance, and evaluation across diverse populations, health care systems, and real-world settings.
Claims of benefit and evidence of benefit are not the same thing.
Beyond technical and algorithmic performance, this section will prioritize research that evaluates the clinical value of AI in cardiovascular medicine. This includes evidence of effectiveness in real-world care, generalizability across populations and health care settings, impact on access and equity, feasibility of implementation and scaling, and costs.
Submissions are invited on, but not limited to, the following topics:
Clinical diagnosis, risk prediction, and decision support: Generative AI, multimodal models, and large language models applied to cardiovascular diagnosis, risk stratification, treatment selection, clinical decision support, and personalized care planning
Multimodal cardiovascular data integration: Integration of imaging, ECG and electrophysiological data, electronic health records, laboratory data, patient-generated data, and mobile or wearable sensor streams, with particular interest in clinically validated multimodal approaches
Implementation and real-world cardiovascular care: Prospective evaluation, workflow integration, clinician-AI interaction, scalability, postdeployment performance, resource utilization, and the effectiveness and cost-effectiveness of AI-enabled cardiovascular care
Patient-centered care and access : Conversational agents, natural language generation, and LLM-driven tools to enhance patient engagement, prevention, cardiac rehabilitation, remote care, and care pathway workflows, including studies examining whether AI improves or inadvertently restricts access to cardiovascular expertise and services
Equity, sex, and gender considerations: Development and validation across diverse populations and health care settings; algorithm bias and digital exclusion; and sex- and gender-specific cardiovascular conditions, including maternal and perinatal cardiovascular health
Evidence standards and responsible AI: Research defining and evaluating the evidence required for clinical adoption of cardiovascular AI, including external validation, safety and failure analysis, human oversight, generalizability, postdeployment monitoring, data governance, and privacy and regulatory evaluation
For more information please visit the website .
About JMIR Publications
JMIR Publications is a leading open access publisher of digital health research and a champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work. As a technology organization with publishing at its core, we provide innovative tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. Our portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research.
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