Stress and Suicide: AI models shows that the study shows that the dangers of depression can be found – computers

The investigation by the Korean team is essential to improve performance and security before the clinical application, however, shows “the probability” to identify these large language models (LLM, English Acronim). “
The group has examined the capacity of LLM trained in a large amount of data in the data of Artificial Intelligence Systems (AI), so they can understand and produce natural language. The group also evaluates the same capacity through the natural language processing technique that turns human language into mathematics.
The study was based on the data of 1064 psychological patients between the ages of 18 and 39 Who performed self -assertion and incomplete phrases.
Giving a series of incomplete phrases to the patient in incomplete sentence tests is the first subject and providing subjective information, for example, their self -esteem or interaction.
GPT-4, Data is processed by LLM models such as GPT-4, Gemini 1.0 Pro or Google Deepmind and text-embedding-3-Large Openai.
The investigation stated andThese models have “demonstrated their ability to assess losses to mental health”, including stress and suicide“From the narrative of psychiatric patients”.
Alberto Ortiz from the Law Pause University Hospital (Madrid) commented on the study in which he was not involved and stressed that it was already in patients with psychotherapy, Therefore, the generalization of the results is “not possible at present” to apply this method for risk detection in the general population.
Speaking to the Science Media Center, a science resource platform, AI’s application in mental health, in any case, should focus on the subjective stories of the people as done in this research.
However, he is “you”The thing is to identify and tracks and tracks people with another, treating people with psychological suffering, which is a task beyond the application of a technical solution And professional self -confidence is required to develop a therapeutic bond. “