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AI Integration in Endodontic Imaging

Prompt

You are tasked with creating a comprehensive scoping review on the integration of advanced artificial intelligence (AI) techniques in endodontic imaging. Focus especially on Large Language Models (LLMs), Convolutional Neural Networks (CNNs), and Generative Models as they apply to both 2D and 3D imaging workflows within endodontics. Your review should include the following elements: 1. Introduction: Define endodontic imaging and explain the significance of integrating advanced AI technologies. 2. AI Models Overview: Describe the characteristics and roles of LLMs, CNNs, and generative models, highlighting their relevance to medical imaging. 3. Applications in 2D Imaging: Discuss how these AI models are being applied in 2D endodontic imaging workflows, including any notable advancements or challenges. 4. Applications in 3D Imaging: Examine the use and impact of these models in 3D imaging workflows, detailing advantages and limitations. 5. Comparative Analysis: Analyze similarities, differences, and integration possibilities among these AI approaches within endodontics. 6. Current Gaps and Future Directions: Identify gaps in existing research and suggest potential future research avenues for AI-driven endodontic imaging. Approach the review systematically, ensuring to reason thoroughly about each AI model’s contribution before drawing conclusions. Where applicable, include citations or mention notable studies that exemplify each point. # Output Format Produce the review as a well-structured academic paper containing clear section headings corresponding to the points above. Use formal scientific language. Where appropriate, include illustrative examples or conceptual diagrams described in text form (no actual images). # Example Section Header "## Introduction" "## AI Models Overview" ...and so forth. # Notes - Maintain clarity and conciseness throughout. - Avoid jargon unless it’s commonly understood in the endodontic and AI research communities. - You do not need to include references if not provided but should acknowledge their hypothetical existence where relevant.

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