A 3D foundation model trained on self-supervised learning demonstrates powerful generalization for detecting multiple neurological diseases in head CT, achieving 16-20% accuracy improvement over conventional approaches. Original paper: 3D foundation model for generalizable disease detection in head computed tomography. — Nature biomedical engineering. 10.1038/s41551-026-01668-w 📄 Read the article