Sun-Yran Chang
Papers
1
Total Citations
26
H-Index
1
About
Dr. Sun-Yran Chang has made significant contributions to the application of artificial intelligence in clinical oncology, with a particular focus on improving prostate cancer prognosis. His most-cited work, a 2014 study developing an artificial neural network (ANN) to predict pathological stage in clinically localized prostate cancer, demonstrated that machine learning models can outperform traditional logistic regression in preoperative risk assessment. By integrating clinical variables such as age, PSA levels, and body mass index, Dr. Chang’s ANN model offers a more accurate, non-invasive tool for guiding treatment decisions in Taiwanese populations. This research, cited 26 times, highlights his pioneering role in bridging computational methods with urological oncology. Dr. Chang’s work underscores the potential of AI to enhance personalized medicine, providing a framework for reducing unnecessary surgeries and improving patient outcomes. His contributions continue to inform the development of predictive models in cancer care, marking him as a key figure in the intersection of data science and clinical practice.
Research Focus
Key Achievements
Top Papers
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