In a recent paper, University of Washington researchers argue that a key standard for deploying medical AI is transparency — that is, using various methods to clarify how a medical AI system arrives at its diagnoses and outputs.


In a recent paper, University of Washington researchers argue that a key standard for deploying medical AI is transparency — that is, using various methods to clarify how a medical AI system arrives at its diagnoses and outputs.

Recent recognition for the University of Washington includes a Rising Star Award, honors for distinguished ornithological work and a Gold Medal Award for Impact in Psychology.

Researchers at the University of Washington have developed a new machine-learning system, called Prescience, which uses input from patient charts and standard operating room sensors to predict the likelihood that a patient will develop hypoxemia — a condition when blood oxygen levels dip slightly below normal. Prescience also provides real-world explanations behind its predictions.