3 stories in this blend

Medical researchers developed RetiME, an AI system that evaluates single routine eye photos to assess biological aging and long term disease trajectories. Trained on tens of thousands of eye scans, the model outperformed standard clinical tests like physical grip strength in estimating mortality risk.

Researchers at NYU Langone created an artificial intelligence model trained on historical 3D mammograms from more than 161,000 women. The software analyzes changes across consecutive annual scans to estimate five year breast cancer probability more accurately than standard risk evaluation methods. The goal is to customize patient screening routines without requiring extra clinic visits or imaging procedures.

Medical researchers at the Children's Hospital of Philadelphia are using open source artificial intelligence software to create patient specific 3D heart models in seconds. The automated pipeline reduces surgical preparation time from hours to seconds while maintaining physician oversight for complex pediatric heart conditions.