This workshop provides an in-depth exploration of the role of AI in the diagnosis and rehabilitation of mental disorders, such as depression, anxiety, and schizophrenia. AI-powered solutions, such as natural language processing and machine learning, are transforming the early detection and management of mental health conditions by analyzing speech patterns, brain scans, and behavioral data. Attendees will learn how to leverage AI to improve diagnostic accuracy and create personalized rehabilitation plans, enabling mental health professionals to provide better care and early interventions for patients with mental disorders.
Objectives:
- Explore how AI models can be used to diagnose mental disorders by analyzing patient data, including speech, text, and imaging.
- Understand the development of AI-powered personalized rehabilitation programs tailored to individual psychological conditions.
- Gain practical insights into the ethical considerations and challenges of integrating AI into mental health care.
Speaker: Dr. Shahabuddin Sheikh, University of Knowledge
