Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study
Cystoscopic assessment is central to bladder cancer diagnosis, yet visual interpretation remains variable. Existing artificial intelligence approaches often depend on data-intensive models that are often difficult to deploy in routine practice. We evaluated whether multimodal large language models (MLLMs), including sm...
Yonatan Prat, Husny Mahmud, A. Tsur et al.
· World journal of urology · 0 citations