About this Research Topic
Artificial Intelligence (AI) is reshaping healthcare, especially for aging populations. This research explores AI's potential to enhance older adults' lives through predictive analytics for age-related diseases, intelligent healthcare systems, personalized medicine, and mental health applications. These innovations target challenges in aging societies, aiming to improve health outcomes, independence, and quality of life. Ethical considerations in AI deployment for aging care are pivotal, shaping future healthcare landscapes for older adults.
This research aims to utilize AI to investigate, understand and transform aging care by addressing diverse challenges faced by elderly populations. Objectives include enhancing AI-driven predictive analytics for better management of age-related diseases, integrating AI into healthcare systems for personalized medicine, and deploying AI in mental health interventions to improve well-being. Ethical considerations will guide AI deployment, ensuring privacy, consent, and equitable access. Recent AI advances like deep learning and natural language processing offer powerful tools for data analysis and decision support, promising significant impacts on aging care. This research seeks to highlight innovative AI applications, advancing understanding and addressing the distinct healthcare needs of aging societies.
This Research Topic seeks to explore the intersection of Artificial Intelligence (AI) and aging care, inviting contributions that advance our understanding and application of AI technologies in improving the health and well-being of older adults.
• AI-driven predictive analytics for age-related diseases
• Intelligent healthcare systems leveraging AI for personalized medicine in aging populations.
• Applications of AI in mental health support for the elderly
• AI-based decision support systems for geriatric healthcare
• Machine Learning applications in gerontology research
• Robotics and AI-assisted technologies for elderly assistance
• AI-enhanced rehabilitation and physical therapy for aging populations
• Ethical considerations in deploying AI solutions for aging care
• Security of AI Systems for aging care
This research aims to utilize AI to investigate, understand and transform aging care by addressing diverse challenges faced by elderly populations. Objectives include enhancing AI-driven predictive analytics for better management of age-related diseases, integrating AI into healthcare systems for personalized medicine, and deploying AI in mental health interventions to improve well-being. Ethical considerations will guide AI deployment, ensuring privacy, consent, and equitable access. Recent AI advances like deep learning and natural language processing offer powerful tools for data analysis and decision support, promising significant impacts on aging care. This research seeks to highlight innovative AI applications, advancing understanding and addressing the distinct healthcare needs of aging societies.
This Research Topic seeks to explore the intersection of Artificial Intelligence (AI) and aging care, inviting contributions that advance our understanding and application of AI technologies in improving the health and well-being of older adults.
• AI-driven predictive analytics for age-related diseases
• Intelligent healthcare systems leveraging AI for personalized medicine in aging populations.
• Applications of AI in mental health support for the elderly
• AI-based decision support systems for geriatric healthcare
• Machine Learning applications in gerontology research
• Robotics and AI-assisted technologies for elderly assistance
• AI-enhanced rehabilitation and physical therapy for aging populations
• Ethical considerations in deploying AI solutions for aging care
• Security of AI Systems for aging care
Keywords: Artificial Intelligence, Geriatric care, Predictive analytics, Personalized medicine, Healthcare innovation
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.
