Thodsawit Tiyarattanachai, n/a (he/him/his)

Master's Student
Stanford University
San Mateo, United States

I pursue my career path as a physician-scientist in the field of biomedical data science. My focus is translational research aiming to develop and incorporate AI into clinical workflow. I have conducted research on artificial intelligence (AI) system to improve ultrasound surveillance for hepatocellular carcinoma (HCC), machine learning models for predicting HCC development in high-risk patients, Ultrasound Liver Imaging Reporting and Data System (US LI-RADS) for B-mode and contrast-enhanced ultrasound, as well as AI techniques for quantitative analysis of such imaging modalities.

Disclosure information not submitted.

Presentation(s):

• Attention Mechanism Enhances Clinical Interpretability of Convolutional Neural Network for Differentiating Benign from Malignant Focal Liver Lesions on Contrast-Enhanced Ultrasound

  ePoster

• A Deep Learning Approach for Hepatic Steatosis Detection and Grading from Standard B-mode Ultrasound Images

  Tuesday, April 9, 2024
  11:42am – 11:49am