چکیده مقاله
The integration of Artificial Intelligence AI into psychiatry offers a promising solution for predicting treatment outcomes in patients with mental health disorders This scoping review explores the application of AI models, particularly machine learning ML and deep learning techniques, in forecasting treatment responses for psychiatric conditions such as depression, anxiety, and schizophrenia AI models have demonstrated significant potential in personalizing treatment plans by analyzing diverse datasets, including clinical records, genetic data, neuroimaging results, and behavioral patterns These models have shown efficacy in predicting the effectiveness of medications, such as antidepressants and antipsychotics, as well as therapeutic interventions like cognitive behavioral therapy CBT However, challenges persist, including the variability in model performance due to biases in data, limited representation of diverse populations, and the complexity of psychiatric disorders Moreover, the lack of standardized data collection methods and the need for continuous validation remain critical barriers to the widespread adoption of AI in clinical settings Despite these limitations, AI’s ability to provide real time, data driven insights and assist in decision making offers substantial improvements in treatment accuracy and efficiency This review highlights the need for further research focused on improving data quality, addressing biases, and developing standardized methodologies to enhance the integration of AI into psychiatric care The findings underscore the potential of AI to revolutionize mental health treatment and provide more personalized, effective care for patients
کلیدواژهها
نویسندگان
Farbod Amin Anaraki
Master's student in Psychometrics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Elaheh Sadeghi
Assistant Professor, Department of Psychology, Ayandegan Institute of Higher Education, Tonekabon, Iran
Seyedeh Zahra Moravej
M D , General Psychology, Ayandegan Institute of Higher Education, Tonekabon, Iran
Kamand Hashemi Moghadam
M D , General Psychology, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
شیوه ارجاع
Anaraki, Farbod Amin and Sadeghi, Elaheh and Moravej, Seyedeh Zahra and Hashemi Moghadam, Kamand,1404,A Review of the Use of Artificial Intelligence Models for Predicting the Treatment Progression and Outcomes of Patients with Psychiatric Disorders,22th international conference of Modern Research in psychology, counseling and Educational sciences,Tehran
ارائهشده در
مجموعه مقالات بیست و دومین کنفرانس بین المللی پژوهش در روانشناسی، مشاوره و علوم تربیتی20 فروردین 1404 · تهران