Enhanced Artificial Intelligence Strategies in Renal Oncology: Iterative Optimization and Comparative Analysis of GPT 3.5 Versus 4.0.

Abstract

Authors

• Rui Liang
  School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou, Guangdong 510090, China.
• Anguo Zhao
  Department of Urology, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
• Lei Peng
  Department of Urology, The Second Clinical College, North Sichuan Medical College, Nanchong Central Hospital, Nanchong, Sichuan, China.
• Xiaojian Xu
  Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
• Jianye Zhong
  Department of Urology, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
• Fan Wu
  Department of Product Design, Dalian Polytechnic University, Dalian 116034, China.
• Fulin Yi
  North Sichuan Medical College (University), Nanchong, Sichuan, China.
• Shaohua Zhang
  Agronomy College of Henan Agriculture University/State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450046, Henan, China.
• Song Wu
  National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
• Jianquan Hou
  1 Department of Urology, First Affiliated Hospital of Soochow University, Suzhou, China.

Keywords

External Resources