Prof. Paolo Soda
Università Campus Bio-Medico di Roma Italy
Towards Resilient AI in healthcare
We need AI systems able to operate in challenging, noisy, and uncertain real-world settings: while this may occur in many fields, it is particularly demanding in healthcare.
This talk will present and reflect on our research on resilient AI, spanning from medical imaging to clinical data, reflecting also on the paths forward towards multimodal learning and generative AI to shape a future where personalized healthcare will provide every individual with the right type of care in the right way and at the right time.
Professor Paolo Soda is a full Professor of Computer Science and Computer Engineering at University Campus Bio-Medico di Roma, and he is a Visiting Professor in AI and Biomedical Engineering at the Department of Diagnostics and Intervention, Umeå University, Sweden.
He is also the coordinator of the Health and Life Sciences specialization area of the National PhD program in AI (XXXIX cycle).
He is an expert in AI: his research interests include multimodal (deep) learning, generative approaches, eXplainable AI, and resilience of AI algorithms.
His research is applied to various domains: 2D and 3D image and video processing and analysis in healthcare, clinical data analysis, AI models for 5P medicine with a special focus on oncology. Other application areas are outside medicine, such as social media analytics and energy management. He is co-founder of BPCOmedia srl.