Researchers have developed DentAgent, a multi-agent framework for dental reasoning that integrates evidence from various sources. The system consists of an orchestrator and five specialized agents that convert observations into structured evidence records. This allows for a unified workflow that combines isolated dental capabilities. In tests, DentAgent outperformed other systems by 17.3 percentage points on multi-label diagnosis, demonstrating its potential for population oral health assessment. --- Why it matters: This matters to AI researchers because it addresses the limitations of current dental AI systems, which are often modality- or task-specific and lack a standardized evidence representation. DentAgent's framework has implications for developing more accurate and reliable dental assessments that integrate heterogeneous evidence. Source: https://arxiv.org/abs/2608.18878