Researchers are exploring the safety of large language models in healthcare and dentistry through various approaches, including adversarial testing and benchmarking. Studies are being conducted to evaluate the performance of these models in areas such as mental health, pediatric depression, and pharmacotherapy simulations. The development of standardized frameworks and tools, including a new AI tool for clinicians, is also underway to assess and improve the safety of large language models in clinical settings.