Researchers at the University of Rochester Medical Center developed a physics-informed AI model to predict speech deficits after brain tumor surgery.
- The model analyzes how the right hemisphere rewires in response to left-hemisphere tumors, integrating biological laws of neuroplasticity.
- This approach enables patient-specific risk mapping, improving surgical planning and rehabilitation strategies.
Unlike conventional black-box AI, physics-informed models embed biological principles, increasing trust, accuracy, and clinical usability.
This marks a critical step toward AI systems that augment medical decision-making rather than merely predicting outcomes.
Source: Merging Neuroscience and AI