Artificial Intelligence for
Healthcare Applications

The increased availability of data collected from healthcare systems has paved the way for a plethora of artificial intelligence (AI) applications in all fields of medicine, ranging from diagnosis to therapeutics or systems to improve rehabilitation processes, just to name a few. Collaboration between AI researchers and expert clinicians plays an important role in turning complex medical data (e.g., genomic data, online acquisitions of physicians, medical imagery, etc.) into actionable knowledge that ultimately improves patient care and people's quality of life.
This workshop aims to present recent advances in AI techniques for healthcare applications. The workshop aims to bridge artificial intelligence and machine learning researchers and practitioners with clinicians interested in exploiting AI potentialities in their clinical practice.

• Biomedical image analysis;
• Data analytics for healthcare;
• Automatic disease prediction;
• Automatic diagnosis support systems;
• Genomic and proteomic data analysis;
• Artificial Intelligence for personalized medicine;
• Machine Learning as a tool to support medical diagnoses and decisions;
• Machine learning for diagnosis and rehabilitation;
• Generative AI for healthcare;
• Multimodal analysis of health data;
• Explainability to support diagnosis;
• Neural signal analysis for diagnosis assistance;
• Physiological signals processing;
• Gait analysis;
• Therapy selection;
• Brain-computer interface for healthcare;
• Biomechatronics for medicine;
• Neuromotor rehabilitation;
• Machine learning approaches in rehabilitation;
• Motion analysis for healthcare.