Chih‐Wei Tsao

About

Dr. Chih‐Wei Tsao is a urological oncologist whose research focuses on improving surgical outcomes and predictive modeling for prostate and upper urinary tract cancers. His major contributions include pioneering the use of artificial neural networks (ANN) to predict pathological staging in clinically localized prostate cancer—a method shown to outperform traditional logistic regression, with his seminal 2014 paper earning 26 citations. Dr. Tsao also advanced the understanding of postoperative complications, demonstrating in a 2018 study (23 citations) that robot-assisted radical prostatectomy (RARP) significantly increases the risk of inguinal hernia within the first two years, a finding that has influenced perioperative counseling. More recently, he compared circulating tumor cell dynamics during robot-assisted versus hand-assisted nephroureterectomy for upper tract urothelial carcinoma (2021), and in 2024 introduced body mass-weighted PSA levels as novel markers for detecting locally advanced prostate cancer. With a career marked by integrating machine learning with clinical urology, Dr. Tsao’s work has garnered over 50 citations, shaping both predictive tools and surgical safety standards in oncologic urology.

Research Focus

Key Achievements

Top Papers

1. 1
   Artificial neural network for predicting pathological stage of clinically localized prostate cancer in a Taiwanese population

   26 citations · 2014
2. 2
   Robot-assisted radical prostatectomy may induce inguinal hernia within the first 2 years

   23 citations · 2018
3. 3
   Effects of robot-assisted versus hand-assisted nephroureterectomy on circulating tumor cells for upper urinary tract urothelial carcinoma

   5 citations · 2021
4. 4
   Body mass weighted prostate-specific antigen levels, new markers to predict locally advanced prostate cancer after prostatectomy

   2 citations · 2024

Key Collaborators

Contact & Links