Brain tumor diagnostics meets AI in this feature, examining a deep-learning approach that reads routine pathology images for molecular insight.
Key Takeaways
- Deep-learning system predicted 102 molecular brain tumor subtypes from routine stained tissue sections
- In a head-to-head trial, the AI achieved 68% accuracy compared with experts' 30% average
- Once slides were digitized, the system generated results in twelve minutes versus twelve days