The model performed best in the detection of severe glaucoma, with 88% accuracy, 100% sensitivity and 83% specificity, with an area under the curve of 0.92.

Poggio says that the CRH and PAH offer a potential unifying theory for key deep learning phenomena such as neural collapse and the neural feature ansatz (NFA).

Virginia Tech. "Researchers use deep learning to predict flooding this hurricane season." ScienceDaily. ScienceDaily, 2 June 2025. <www.sciencedaily.com / releases / 2025 / 06 / 250602154901.htm>.