Vanderbilt: Student-Developed Machine-Learning Techniques Make Surgeries Safer and Easier to Review
April 10, 2021
April 10, 2021
NASHVILLE, Tennessee, April 10 (TNSJou) -- Vanderbilt University issued the following news:
An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation.
TingYan "Nicholas" Deng, a third-year student majoring in computer science, mathematics and economics, used algorithm . . .
An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation.
TingYan "Nicholas" Deng, a third-year student majoring in computer science, mathematics and economics, used algorithm . . .