TITLE The utility of non-rule based visual matching as a strategy to allow novices to achieve skin lesion diagnosis

TITLE The utility of non-rule based visual matching as a strategy to allow novices to achieve skin lesion diagnosis
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标题 基于非规则的视觉匹配作为一种策略的实用性,使新手能够实现皮肤病变诊断

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发表时间:
2010
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通讯作者:
Jonathan L Rees
Jonathan L Rees
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作者:
Authors R Benjamin Aldridge;D. Głodzik;L. Ballerini;R. Fisher;Jonathan L Rees

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标题:非规则视觉匹配的实用性作为一种策略,让新手实现皮肤病变诊断基金来自威康信托基金会(参考083928/Z/07/Z)和皮肤研究基金会(爱丁堡)。由Wellcome Trust支持的RBA a和LB a。摘要非分析推理在皮肤科诊断中起着关键作用。考虑到其潜在的重要性,令人惊讶的是,很少有人研究类似的识别过程是否可以支持非专家。我们描述了一个原型诊断支持软件,我们已经用来检查医学生(在皮肤科附件的开始和结束)和非专业志愿者的能力,诊断常见的皮肤病变的12个图像。总体而言,使用该软件的非专家诊断准确率为98%(923/936),而对照组为33%(215/648)(Wilcoxon p<0.0001)。我们已经证明,在一个简化的临床模型的限制,新手的诊断分数显着增加,通过使用结构化的图像数据库,再加上匹配的索引和参考图像。新手在没有使用任何明确的相似性定义或基于规则的策略的情况下达到了这种高度的准确性。
TITLE The utility of non-rule based visual matching as a strategy to allow novices to achieve skin lesion diagnosis Funding from The Wellcome Trust (Reference 083928/Z/07/Z) and the Foundation for Skin Research (Edinburgh). RBA a and LB a supported by Wellcome Trust. ABSTRACT Non-analytical reasoning is thought to play a key role in dermatology diagnosis. Considering its potential importance, surprisingly little work has been done to research whether similar identification processes can be supported in non-experts. We describe a prototype diagnostic support software, which we have used to examine the ability of medical students (at the beginning and end of a dermatology attachment) and lay volunteers, to diagnose 12 images of common skin lesions. Overall the non-experts using the software had a diagnostic accuracy of 98% (923/936) compared to the control group of 33% (215/648) (Wilcoxon p<0.0001). We have demonstrated, within the constraints of a simplified clinical model, that novices' diagnostic scores are significantly increased by the use of a structured image database coupled with matching of index and referent images. The novices achieve this high degree of accuracy without any use of explicit definitions of likeness or rule-based strategies.