Artificial Intelligence and Medical Search

What are large language models (LLMs)?

Large Language Models (LLMs), like OpenAI’s ChatGPT, are trained on vast datasets and generate context-specific answers. But they face two major limitations:

• Hallucinations – LLMs may fabricate information or citations.
• Outdated Knowledge – LLMs are static and limited by their last training date.

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What Is a Retrieval-Augmented Generation (RAG) Model?

RAG models combine the power of LLMs with real-time data retrieval from trusted sources. Our system taps into Semantic Scholar, PubMed and others extensive academic database, offering:

• Accurate
• Context-specific
• Up-to-date responses
• > 80M Academic Medical Research Articles

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‍What Is Semantic Scholar?

Semantic Scholar is a curated research database with over 200 million academic papers, offering peer-reviewed and trusted information. Our model is finely tuned to extract insights from medical literature - > 80M papers.

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How does a RAG work? 

1. Input Query – The user asks a medical question.
2. Vectorization – The query is turned into a vector representation.
3. Database Search – That vector is matched with relevant academic research.
4. Augmentation – Retrieved information enhances the original query.
5. LLM Processing – The improved query is passed to the LLM.
6. Result – You get a concise, evidence-based answer, complete with references.

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Why Do Medical Clinicians Need RAG Models?

1. Accuracy and Trustworthiness
   Pulls only from peer-reviewed data, avoiding hallucinations.
2. Real-Time Evidence
   Delivers the latest guidelines and medical research instantly.
3. Context-Aware
   Answers are tailored to the specific clinical situation.
4. Citation Transparency
   Every answer includes a source, making validation easy.

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AI RAG Search Engine vs. Traditional Search & UpToDate

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Why Trust Matters in Medicine

• Patient Safety – Eliminates guesswork with accurate answers.
• Clinical Efficiency – Saves time during decision-making.
• Regulatory Compliance – Aligned with evidence-based standards.

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Your Partner in Evidence-Based Medicine

With AI-powered search enhanced by Semantic Scholar, PubMed and other validated medical literature sources, you can trust every answer is clear, current, and clinically relevant.

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