Mental health conditions, including anxiety and depression, and neurodevelopmental disorders such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), often occur alongside cardiovascular issues, necessitating comprehensive and targeted care strategies. For instance, individuals with mental health challenges may experience heightened cardiovascular risks due to behavioral factors, stress, and potential genetic predispositions. Understanding these complex interactions calls for a tailored approach to cardiovascular care that accommodates the diverse needs of individuals who may face difficulties in traditional healthcare settings.
A holistic approach to assessing cardiovascular risk in patients with mental health conditions is crucial. Strategies include:
- Personalized Care Planning: Developing tailored care models that consider both cardiovascular risk and the unique challenges posed by mental health conditions, enabling more effective risk prediction and management. - Technology-Enhanced Monitoring: Employing wearable devices and AI-driven sensors to track cardiovascular indicators such as heart rate, physical activity, and stress levels, providing comprehensive insights into overall health. - Improved Communication Support: Utilizing Natural Language Processing (NLP) technologies to facilitate better understanding between healthcare providers and patients, enhancing diagnostic and treatment processes. - Education for Patients and Caregivers: Providing customized educational resources about cardiovascular health, adapted to the specific needs and circumstances of patients and their support systems. - Integration of AI in Healthcare: Harnessing AI to develop inclusive and adaptive healthcare approaches that cater to individuals with diverse mental health and neurodevelopmental needs.
This Research Topic aims to explore the role of artificial intelligence and technology in improving cardiovascular care for individuals with mental health and neurodevelopmental conditions. We welcome contributions on:
- The application of artificial intelligence in cardiovascular care for mental health conditions - Exploration of genetic and environmental factors linking mental health and cardiology - The role of physical activity and sport cardiology in managing cardiovascular risk - Innovative tools, such as music therapy and social robots, in cardiovascular assessments - Considerations of gender and age differences in cardiovascular care for these populations
We invite researchers and practitioners to contribute insights that bridge the gap between advanced technology and compassionate, effective healthcare delivery.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Conceptual Analysis
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Conceptual Analysis
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Registered Report
Review
Study Protocol
Systematic Review
Keywords: Autism, Cardiovascular Care, Cardiovascular Disease, Artificial Intelligence, Prevention, Mental Health
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.