Compact language models push medicine toward scalable AI

Small language models (SLMs) offer a scalable, practical alternative to large language models for medical tasks, enabling broader real-world deployment across diverse clinical settings, but they trade off some accuracy and robustness and require careful evaluation, domain adaptation, and governance to address safety and integration challenges.