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• The Chain-of-Look framework outperforms state-of-the-art counting methods (e.g., CountGD, REC) in dense surgical instrument counting.result 90%
• The Chain-of-Look framework outperforms Multimodal Large Language Models (e.g., Qwen, ChatGPT) in dense surgical instrument counting.result 90%
• The Chain-of-Look framework mimics human sequential counting by enforcing a structured visual chain for spatial reasoning.method 85%
• A neighboring loss function is introduced to enforce the physical plausibility of the visual chain by modeling spatial constraints of densely packed instruments.technical 85%
• The SurgCount-HD dataset comprises 1,464 high-density surgical instrument images.technical 95%
• The method may face challenges with instrument types not well-represented in the dataset or varying light conditions.limitation 80%
• The method improves accuracy over manual counting and less effective automated solutions in dense environments.market 75%
• Accurate counting of surgical instruments is a critical prerequisite for ensuring patient safety during surgery.market 90%

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