Student-developed machine-learning techniques make surgeries safer, easier to review

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.

Share:

Facebook
Twitter
Pinterest
LinkedIn

Leave a Reply

Related Posts

Vitamins and Minerals

Vitamins and minerals are micronutrients required by the body to carry out a range of normal functions. However, these micronutrients are not produced in our