The Rise of Digital Therapists: A Survey of Artificial Intelligence in Mental Health Monitoring and Support*

Session

Computer Science and Communication Engineering

Description

In recent years, the intersection of artificial intelli- gence (AI) and mental health has emerged as a promising frontier for enhancing emotional well-being and psychological care. This survey explores the growing role of AI technologies—particularly natural language processing (NLP), machine learning, and affec- tive computing—in the detection, monitoring, and support of mental health conditions. We examine the current landscape of AI-driven tools such as conversational agents, sentiment anal- ysis platforms, emotion-aware systems, and digital therapeutic applications. The paper highlights key methodologies, including text-based sentiment classification, voice emotion recognition, and facial expression analysis, while discussing their implementation in mental health assessment and intervention. Furthermore, we review the effectiveness, ethical considerations, and limitations of these technologies, focusing on issues such as privacy, bias, trust, and clinical validation. Finally, we identify emerging trends and outline research gaps that must be addressed to ensure responsible and impactful integration of AI in mental health care. This survey aims to provide a comprehensive overview for researchers, practitioners, and developers working at the intersection of AI and digital mental health.

Keywords:

Artificial Intelligence, Mental Health, Affective Computing, Natural Language Processing, Emotion Recognition, Digital Therapeutics, AI in Healthcare

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.95

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

The Rise of Digital Therapists: A Survey of Artificial Intelligence in Mental Health Monitoring and Support*

UBT Lipjan, Kosovo

In recent years, the intersection of artificial intelli- gence (AI) and mental health has emerged as a promising frontier for enhancing emotional well-being and psychological care. This survey explores the growing role of AI technologies—particularly natural language processing (NLP), machine learning, and affec- tive computing—in the detection, monitoring, and support of mental health conditions. We examine the current landscape of AI-driven tools such as conversational agents, sentiment anal- ysis platforms, emotion-aware systems, and digital therapeutic applications. The paper highlights key methodologies, including text-based sentiment classification, voice emotion recognition, and facial expression analysis, while discussing their implementation in mental health assessment and intervention. Furthermore, we review the effectiveness, ethical considerations, and limitations of these technologies, focusing on issues such as privacy, bias, trust, and clinical validation. Finally, we identify emerging trends and outline research gaps that must be addressed to ensure responsible and impactful integration of AI in mental health care. This survey aims to provide a comprehensive overview for researchers, practitioners, and developers working at the intersection of AI and digital mental health.