Suchi Saria, John C. Malone Assistant Professor of Computer Science, and a team of researchers, provide a roadmap to accelerate safe, ethically responsible applications of machine learning in healthcare in recent paper published in Nature Medicine.

“Many groups are publishing papers using data to show potential, but in order to see actual benefits in patient outcomes, we need a way by which we can move from potential ideas to rigorous tools that can be applied in practice,” says Saria.

Saria, a thought leader on computational medicine, directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare.

Read more on the guidelines at SickKids.com.