Embodiments herein relate to identifying a status of a patient such as in a dental or other
medical treatment room. In one aspect, the solutions provide a
system to determine whether the patient is anxious and / or a degree of
anxiety of the patient. The solutions can include training a model such as a large
language model (LLM). In a
training phase, data is gathered from patients, the environments of treatment rooms and equipment of the treatment rooms during various medical procedures for a
patient population. The model is then trained to correlate the data with a degree of
anxiety. Once the model is trained, it can be deployed to determine whether an individual patient is anxious and to take appropriate countermeasures to reduce
anxiety.