Augmented intelligence has the potential to enhance diagnostic decision-making in healthcare, but striking the right balance between human expertise and AI is crucial. How do clinicians work with AI systems in diagnostic decision-making, and what are the implications for patient care? What are the current training and education programmes available to equip clinicians with the skills and knowledge needed? What measures can be taken to ensure transparency and explainability of AI algorithms for both clinicians and patients? What ethical considerations arise when integrating AI into clinical practice? What lessons can be learned from successful implementations of AI in diagnostic decision-making?
Moderator: Paul Borm, Co-Founder & CTO, Nano4Imaging 
