A new AI framework that can help doctors build better tools

Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many of these tools fall short in real-life clinical practice because they are difficult for doctors to interpret and trust. Researchers at UC San Francisco have developed a new way to use AI to build clinical prediction tools that combines the speed of artificial intelligence with the judgment of human experts.