New AI model tries to synthesize patient data like doctors do - Research & Development World

PNNL scientists working with Stanford researchers have put forth a new approach to incorporate medical knowledge into AI systems, improving the accuracy of patient diagnosis dramatically. Artificial intelligence will never replace a doctor. However, researchers at the Department of Energy's Pacific Northwest National Laboratory have taken a big step toward the day when AI can help physicians predict medical events. A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches. The PNNL approach seeks to capture and recreate the types of connections physicians do naturally when they apply a lifetime of learning and knowledge to the patient standing in front of them in the exam room.