What does the future hold for artificial intelligence in urology? - EAU22

Dr. Michael Bussmann (DE) kicked off the session with his pre-recorded presentation "Basics of explainable artificial intelligence with applications in PCa". He stated that AI currently mimics human intelligence but to advance, explainable AI needs lots of data to create value. Diverse, big and high-quality data is key to successful AI building, this data needs to be complex and unstructured. According to Dr. Bussmann, great prospects of explainable AI in PCa include, but are not limited to classification of prostate tumours with MRI, PCa detection, Gleason Score grading, risk stratification, lesion detection, biochemical recurrence, and robotic surgery. Dr. Bussmann also shed light on the big potential of synthetic data.