Application of generative AI in healthcare

Abstract

This paper explores the application of Generative Artificial Intelligence in healthcare, with a specific focus on mental health support systems. Mental health services face unprecedented demand globally, creating accessibility challenges that technology-driven solutions may help address. Generative AI is catalyzing a revolutionary shift in healthcare, fundamentally transforming how medical services are provided and coordinated across the entire system. This powerful technology harnesses advanced computational capabilities to enable innovations that were once thought impossible, dramatically reshaping the healthcare landscape. By automating complex processes, generating personalized treatment plans, and facilitating more intuitive patient-provider interactions, generative AI is redefining the boundaries of what's possible in medical care delivery and management. We present a novel mental health chatbot built on Meta's Large Language Model (LLaMA) architecture, designed to provide personalised therapeutic interactions and psychoeducational resources to users experiencing psychological distress. This work contributes to the growing field of AI-assisted mental healthcare by demonstrating how Retrieval Augmented Generation techniques can enhance the clinical value and safety of conversational AI systems in the healthcare industry.