Wan‐Ting Hsu
Papers
3
Total Citations
80
H-Index
3
About
Wan‐Ting Hsu is a researcher whose work bridges health outcomes research and artificial intelligence, with a particular focus on surgical treatments for colorectal cancers. Her major contributions include large-scale, population-based studies comparing open, laparoscopic, and robotic surgical approaches for rectal and colon cancer. Using the Nationwide Inpatient Sample database and propensity score matching, she provided critical evidence on the comparative outcomes and costs of these techniques—her 2017 rectal cancer study has garnered 38 citations, and her 2018 colon cancer analysis has 32 citations, underscoring their influence on surgical decision-making and health policy. Beyond clinical research, Hsu has also explored computer vision, co-authoring a paper on video captioning via sentence augmentation and spatio-temporal attention (10 citations). This dual expertise highlights her versatility in applying data-driven methods to both medical and computational challenges. Her work is notable for its rigorous methodology and real-world implications, offering valuable insights for clinicians, health economists, and AI researchers alike.
Research Focus
Key Achievements
Top Papers
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- 3Video Captioning via Sentence Augmentation and Spatio-Temporal Attention10 citations · 2017