A team of researchers including Suchi Saria, John C. Malone Assistant Professor of Computer Science, provides a roadmap to accelerate safe, ethically responsible applications of machine learning in health care in a 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.
A thought leader computational medicine, Saria directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare.