Andrology-Open Access
Open Access

Department of Gynecology, People's Hospital of Liaoning Province, Shenyang, China, China

Publications

• Review Article   
  The Research Progress of Artificial Intelligence in the Diagnosis of Urogenital Tumors
  Author(s): Mengying Zhu, Xiaoquan Yang, Zhenzhu Zhai, Fang Chen, Ruibin Liu, Guohua Zhao and Yue Wang*
  
  In recent years, the incidence of urological cancers, particularly Bladder Cancer (BC), Renal Cell Carcinoma (RCC) and Prostate Cancer (PCa), has significantly increased, highlighting the critical importance of early detection and timely treatment in improving patient outcomes. The often asymptomatic nature of these tumors in their early stages frequently leads to diagnoses at advanced stages, which adversely affects treatment efficacy and survival rates. The diagnosis of urological tumors relies on medical imaging, pathological slides and endoscopic images, all of which are essential for early detection but face limitations such as physician subjectivity and time-consuming analysis. The advent of Artificial Intelligence (AI) presents a promising solution for extracting features from tumor images that may be difficult to identify visually, thereby enhancing diagnostic accuracy. This i.. View More»
  

  Abstract PDF