FURI | Summer 2024, Needs Review

Utilizing Artificial Intelligence in Early Detection of Mental Health Disorders: Leveraging Machine Learning and Natural Language Processing Techniques

This research study explores the potential of artificial intelligence (AI) to enhance the early detection of mental health disorders. Preliminary findings suggest that AI, utilizing machine learning (ML) and natural language processing (NLP) techniques, can significantly improve the accuracy and timeliness of diagnosis compared to traditional methods, leading to improved patient outcomes. Our work underscores the potential of AI to revolutionize mental health care by enabling personalized care and efficient resource allocation. Future work should focus on expanding data sets and refining algorithms to validate and enhance AI-driven diagnostic tools.