The Present and Future of Artificial Intelligence Applications in Psychiatry

A rchives of Neuropsychiatry, with roots dating back to 1919 as a traditional sequel of the journal "stanbul Seririyat" and has been published continuously since 1964, is celebrating its 60 th anniversary!The last 60 years have witnessed extraordinary developments in the fields of science and technology and Archives of Neuropsychiatry is happy and proud to keep pace with this new era by embracing the future.As the journal steps into its seventh decade, this article explores the increasing usage of artificial intelligence (AI) technologies in psychiatry, their future potential, and their limitations that remain to be solved. Applications of Artificial Intelligence in the Research FieldAI is the field of computer science that deals with the development of problem-solving and decision-making abilities by machines, similar to the human brain (1).Machine learning algorithms are used to train AI-based systems with large amounts of data to gain these skills (2).Unlike traditional computer systems, AI focuses on development of hypotheses rather than testing a given hypothesis (3).AI applications have opened up a new research field on early diagnosis and prevention of psychiatric disorders.AI can be used to detect common patterns and identify high-risk individuals in big data collected from hundreds of thousands of participants, obtained through methods such as brain imaging, genetic examinations, electroencephalography, polysomnography, blood tests, and physical measurements (4).In predicting whether the person is in the healthy control group or the patient group up to 98% accuracy in results has been reported, based on brain imaging data (5).In addition to data obtained through sophisticated methods, successful results have also been achieved with AI in predicting diagnosis and treatment response by incorporating sociodemographic information such as patients ' age, gender, ethnicity, and income level (6).In summary, based on complex data, AI allows making stronger predictions than traditional methods of analysis in many diseases such as mood disorders, schizophrenia, addiction, sleep disorders, Alzheimer's disease (2,3,7,8).With the launch of the large language model (LLM) ChatGPT in November 2022, the use of AI in the academic field has become increasingly widespread.ChatGPT is a chatbot that provides human speech-like responses to requests and questions.In addition to providing spelling suggestions and assistance with language and grammar, ChatGPT can respond to requests such as analyzing and presenting data, writing computer code, drafting review articles, preparing project applications, and providing feedback on written articles as a reviewer.However, there are important problems regarding the reliability of the information provided by AI. Highlights Artificial intelligence (AI) has opened new areas in the screening, diagnosis, and treatment of psychiatric diseases. The use of AI applications is becoming increasingly widespread in many stages of scientific research. AI applications have led to new problems regarding reliability and privacy.