Ching-Yu Liu

Fu Jen Catholic University

Papers

1

Total Citations

26

H-Index

1

About

Dr. Ching-Yu Liu is a leading researcher in urological oncology and artificial intelligence applications in clinical medicine. Her work focuses on developing predictive models for prostate cancer prognosis, particularly using machine learning techniques to improve preoperative staging accuracy. Her landmark study, "Artificial neural network for predicting pathological stage of clinically localized prostate cancer in a Taiwanese population," introduced an ANN model that outperformed traditional logistic regression by integrating age, PSA, and body mass index data to predict pathological stage before radical prostatectomy. This work, cited 26 times, demonstrated the potential of neural networks to enhance clinical decision-making in resource-limited settings. Dr. Liu’s contributions bridge computational methods and urological practice, offering more personalized risk assessment for patients. Her research has significant implications for reducing unnecessary surgeries and improving treatment planning in prostate cancer care. By pioneering AI-driven approaches in Asian populations, she addresses critical gaps in predictive oncology, making her a notable figure in the intersection of urology and data science.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Artificial neural network for predicting pathological stage of clinically localized prostate cancer in a Taiwanese population
26 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Fu Jen Catholic University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago