Call for papers "Artificial intelligence in cardiovascular endocrinology: advancing precision in cardiometabolic care"
Published in Computational Sciences and General & Internal Medicine
In recent years, artificial intelligence (AI) has begun to permeate the clinical landscape—not as a distant promise, but as a transformative force in real-time decision-making. Nowhere is this transformation more compelling than at the crossroads of cardiovascular endocrinology, where hormonal disorders and metabolic dysregulation drive some of the world’s most pressing cardiovascular challenges.
Endocrine disorders such as diabetes, thyroid dysfunction, and adrenal abnormalities are major contributors to cardiovascular morbidity and mortality. Yet the tools traditionally used to assess cardiovascular risk often fail to capture the nuanced and dynamic nature of these diseases. AI is poised to fill this gap.
Emerging machine learning models can now detect early cardiovascular complications in patients with metabolic disorders, identify risk trajectories that are invisible to conventional clinical tools, and integrate vast amounts of data—from electronic health records and laboratory results to imaging and genomics—into clinically meaningful insights. Moreover, AI-powered wearable technologies are facilitating continuous, real-time monitoring, offering clinicians unprecedented opportunities for early intervention and personalized care outside traditional healthcare settings.
Despite these advances, key challenges remain. Algorithmic bias, lack of transparency in AI decision-making, and disparities in access to digital technologies are serious concerns that demand thoughtful and interdisciplinary solutions. Clinicians and researchers must be actively involved in shaping how AI is developed, validated, and implemented to ensure its safe and equitable use across diverse patient populations.
We welcome submissions addressing, but not limited to:
- AI-based prediction and prevention of cardiovascular events in endocrine disorders
- Integration of AI with imaging, laboratory, and wearable data in clinical practice
- Development of clinical decision support systems for cardiometabolic management
- Applications of AI in diabetic cardiomyopathy and other endocrine-related heart diseases
- Ethical, legal, and health equity considerations in the deployment of AI technologies
This is a pivotal moment for the evolution of precision medicine in cardiometabolic care. By harnessing the power of AI, we have the opportunity to redefine standards of care, close diagnostic gaps, and improve outcomes for high-risk patient populations.
We encourage you to submit your work and join us in advancing this important and timely field. Together, let us shape a future where intelligent systems complement clinical expertise for the benefit of all.
Please find further information on the collection page.
Follow the Topic
-
Cardiovascular Diabetology – Endocrinology Reports
This is an official companion journal to Cardiovascular Diabetology and is an open access journal publishing on clinical, translational and basic science aspects of endocrinology.
Related Collections
With Collections, you can get published faster and increase your visibility.
Pleiotropic Actions of Incretin-Based Therapies
Cardiovascular Diabetology - Endocrinology Reports features a Collection on "Pleiotropic Actions of Incretin-Based Therapies". This is a companion Collection with Cardiovascular Diabetology with the title "Incretin-Based Therapies in Type 2 Diabetes and Obesity: Current Evidence and the Evolving Cardiometabolic Landscape".
Incretins play a crucial role in regulating glucose homeostasis and body energetics, and incretin based-therapies have fundamentally changed the management of people with diabetes and obesity. Importantly, recent evidence has revealed a wider profile of multi-organ beneficial effects for incretin therapies, including cardiovascular and renal protection, beyond glycaemic control. Whilst the full range of pleiotropic, organ-specific effects of incretins is still being elucidated, it should be noted that their use is limited by adverse events, such as gastrointestinal intolerance, and safety concerns regarding retinal disorders, muscle impairment, and pancreatitis.
Ongoing areas of interest include, but are not limited to:
- Tissue-specific effects of incretin-based medications
- Exploration of novel clinical indications for incretin therapies
- Safety concerns related to incretin therapies
- Next-generation incretin medications
- Combination of incretin treatment with lifestyle interventions
This Collection invites mini reviews, short reports and commentaries of clinical studies related to the pleiotropic effects of incretin-based therapies, but also welcomes original clinical, translation and basic research articles and reviews.
This Collection supports and amplifies research related to SDG 3, Good Health and Well-Being.
All submissions in this Collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, this journal levies an article processing fee (details here). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email OAfundingpolicy@springernature.com or the Editor-in-Chief.
Publishing Model: Open Access
Deadline: Jan 14, 2027
Endocrine Drivers and Clinical Implications of the Cardiovascular–Kidney–Metabolic Syndrome
Cardiovascular Diabetology - Endrocrinology Reports features a Collection on "Endocrine Drivers and Clinical Implications of the Cardiovascular–Kidney–Metabolic Syndrome". This is a companion Collection with Cardiovascular Diabetology with the title "Cardiovascular-Kidney-Metabolic (CKM) Syndrome: Risk Stratification, Prognostic Implications and Therapeutic Innovation" and with BMC Cardiovascular Disorders with the title "Cardiovascular-Kidney-Metabolic (CKM) Syndrome: diagnosis and management of a systemic disorder".
This Collection explores the endocrine dimensions of the cardiovascular–kidney–metabolic (CKM) syndrome and related disorders. CKM syndrome reflects the complex, multidirectional interactions among excess adiposity, metabolic dysfunction, endocrine abnormalities, chronic kidney disease, and cardiovascular injury. Given the endocrine system’s central role in metabolic and cardiovascular homeostasis, a deeper mechanistic and clinical understanding of endocrine factors — ranging from thyroid, adrenal, and pituitary function to bone metabolism, reproductive endocrinology, and neuroendocrine signaling — is important for advancing integrated risk stratification and therapeutic innovation across the CKM spectrum.
Possible topics of interest include:
- Endocrine determinants and modulators of CKM risk, including thyroid, adrenal, pituitary, reproductive, bone, and neuroendocrine disorders
- Life-course endocrine influences, such as childhood obesity, pubertal development, gestational diabetes, and pregnancy-associated endocrine conditions
- Biomarkers and diagnostic tools for early detection of multiorgan dysfunction across CKM stages, including endocrine-specific laboratory markers and advanced imaging
- Non-pharmacological multi-target interventions, including nutritional, behavioral, and exercise-based strategies, with emphasis on endocrine-metabolic mechanisms
- Emerging pharmacotherapies, including SGLT2 inhibitors, GLP-1 receptor agonists, non-steroidal MRAs, incretin combinations, anti-inflammatory agents, and endocrine-targeted therapies
- Translational and basic science investigations into hormonal signaling pathways linking endocrine disorders with cardiovascular and renal dysfunction
This Collection supports and amplifies research related to SDG 3, Good Health and Wellbeing.
All submissions in this Collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, this journal levies an article processing fee (details here). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email OAfundingpolicy@springernature.com or the Editor-in-Chief.
Publishing Model: Open Access
Deadline: Feb 18, 2027
Please sign in or register for FREE
If you are a registered user on Research Communities by Springer Nature, please sign in