AI and Mental Health Diagnostics: A Review of Applications and Limitations
Keywords:
Artificial Intelligence, Mental Health Diagnostics, Machine Learning, Natural Language Processing, Depression, Anxiety, Schizophrenia, Personalized Care, Diagnostic Accuracy, Data Privacy.Abstract
Abstract
Artificial Intelligence (AI) is playing an increasingly significant role in the field of mental health diagnostics, offering innovative solutions for detecting, monitoring, and treating mental health disorders. AI applications, particularly machine learning (ML) and natural language processing (NLP), are being utilized to analyze a wide range of data, from electronic health records and clinical notes to biometric data and speech patterns. These technologies provide an opportunity for early detection of mental health conditions such as depression, anxiety, schizophrenia, and bipolar disorder, often before they are clinically evident.
