If you are not already registered with #frAIday, you can do so here to receive the Zoom link
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.
If you are not already registered with #frAIday, you can do so here to receive the Zoom link
Paolo Soda is full Professor at University Campus Bio-Medico di Roma, and he is Visiting Professor at Umeå University. He is the coordinator of the Health and Life Sciences specialization area of the Italian National PhD program in AI. He is an expert in AI: his research interests include multimodal and generative learning, eXplainable and resilient AI. His research is applied medical imaging, clinical data analysis, AI models for 5P medicine, social media analytics, and energy management.