[Correspondence] Artificial intelligence-based model for lymph node metastases detection in bladder cancer

Artificial intelligence can reach the level of trained pathologists in terms of diagnostic accuracy, thereby substantially reducing the clinical workload of front-line pathologists in the future.1 However, artificial intelligence-based models require large-scale validation in real-world clinical scenarios.1,2 In their Article,3 Shaoxu Wu and colleagues conducted a large-scale, multicentre, retrospective study on the use of an artificial intelligence-based model for the diagnosis of lymph node metastases in bladder cancer.