First International Workshop on
Artificial Intelligence for Healthy Ageing: Advancing Prevention, Diagnosis, and Therapy of Chronic Degenerative Diseases (AIGE)
Pavia, Italy on June 26, 2025
[WORKSHOP NOT CONFIRMED]
< The workshop cannot be confirmed due to an insufficient number of contributions >
Overview
The global healthcare system is facing a significant challenge due to the aging population and the increasing prevalence of chronic diseases. As these conditions become more widespread, there is an urgent need for innovative healthcare solutions that can improve prevention, diagnosis, and treatment. Artificial Intelligence (AI) offers a transformative approach to healthcare, enabling more effective prevention, management, and treatment strategies. By analyzing diverse data—medical records, genetics, lifestyle, and social determinants—AI promises earlier detection, diagnosis, and management of age-related diseases like neurodegenerative, cardiovascular, and musculoskeletal disorders.
This Workshop aims to facilitate a multidisciplinary dialogue, bringing together experts from healthcare, computer science, and engineering to explore the forefront of AI applications in age-related disease management. The Workshop will highlight emerging AI-driven innovations that improve healthcare outcomes and personalized therapies, while also addressing critical challenges, such as algorithmic bias, data privacy, scalability, and regulatory issues.
Through collaborative discussions and knowledge exchange, the Workshop aims to accelerate the responsible translation of AI into clinical practice, ultimately contributing to evidence-based solutions and methods to sustain more effective management of chronic diseases related to ageing.
Topics List
The Workshop invites contributions on all aspects of AI applications in healthcare and biomedical fields, specifically focused on advancing the prevention, diagnosis, and therapy of chronic degenerative diseases related to the ageing process, with an emphasis on (but not limited to):
AI for Early Detection, Diagnosis, and Personalized Treatment. Applications of AI in the early detection, diagnosis, and management of chronic and degenerative diseases, including neurodegenerative disorders (e.g., Alzheimer’s, Parkinson’s), cardiovascular diseases, and cognitive impairments.
AI for Rehabilitation in Long-Term Management of Chronic Diseases. AI applications in long-term care for individuals with chronic diseases emphasizing personalized rehabilitation programs, remote monitoring, and continuous care management that can help track patient progress, optimize therapy regimens, and enhance patient engagement in their recovery journey.
AI for Healthy Ageing and Disease Prevention. AI technologies to promote healthy behaviors, prevent chronic conditions, and enhance overall health conditions. This includes AI-driven health parameters tracking, personalized workout plans, and behavior modification tools that encourage healthier lifestyles, reducing the risk of developing chronic diseases such as obesity and diabetes.
AI for Biomechanical Analysis and Movement Assessment. Exploring the role of AI in biomechanical analysis to assess movement, posture, and physical performance. This includes AI tools for detecting abnormalities and predicting risk factors for injury, with applications in diagnostics and rehabilitation settings.
AI for Remote and Assistive Healthcare Technologies. AI applications and assistive tools enhancing monitoring, diagnosis, and treatment in long-distance healthcare, including telemedicine platforms, remote sensors, and tools for remote assessments and collecting patient-reported outcomes.
Explainable and Ethical AI in Healthcare Systems. Methods for enhancing the transparency and interpretability of AI models, ensuring that clinicians and patients can trust AI-driven decisions. This includes research on mitigating bias, data privacy, and addressing ethical challenges associated with human-centered datasets in healthcare applications.
Acknowledgment
We gratefully acknowledge financial support from the PNRR MUR project PE0000013-FAIR and
D3 4 Health – Digital Driven Diagnostics, Prognostics, and Therapeutics for Sustainable Healthcare - PNC0000001, CUP B53C22005980001.
