From Algorithms to Empathy: A Review on Artificial Intelligence in Mental Health

The integration of artificial intelligence (AI) in mental health care is revolutionizing the field by enhancing diagnosis, treatment, and accessibility. AI technologies, such as machine learning and natural language processing, are being utilized to analyse vast datasets, enabling early detection and personalized interventions for mental health disorders [1]. This change is particularly important in the rising demand for mental health services and the lack of human counsellors [2]. The following sections outline key aspects of AI's role in mental health, such as AI in Diagnosis and Screening, AI in Treatment and Support, and Challenges and Ethical Considerations. AI algorithms can analyse behavioural and clinical data to identify patterns associated with mental health issues, improving diagnostic accuracy [3]. Machine learning techniques have shown effectiveness in predicting individual responses to treatments, providing personalized care plans [4].