AI for health
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RAG in Healthcare: Real Adoption Use Case Examples
Retrieval-Augmented Generation (RAG) improves the reliability of AI in healthcare by grounding responses in verified external knowledge, addressing hallucinations typical in Large Language Models (LLMs). Anticipated growth in RAG adoption highlights its critical role in enhancing clinical decision-making and patient safety while navigating challenges such as algorithmic bias and HIPAA compliance.
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AI Therapy Bots Reach Psychology’s Gold Standard [Therabot]
AI-powered therapy chatbots are becoming essential for delivering mental health support, effectively reducing symptoms of depression and anxiety. Tools like Therabot provide accessible, personalized, and consistent therapy experiences. These AI resources bridge gaps in mental healthcare, complementing traditional therapy while ensuring privacy and safety. Explore free AI therapy tools to get started.