自然语言处理:牙科的机遇和挑战
Martha Büttner1, Ulf Leser2, Lisa Schneider1
1Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Germany.
Journal of dentistry
|December 10, 2023
概括
自然语言处理 (NLP) 在牙科中为症状分类和聊天机器人等任务提供了巨大的潜力. 然而,数据需求和可解释性的挑战目前限制了它在牙科领域的广泛采用.
科学领域:
- * 计算机科学和语言学
- * 自然语言处理 (NLP)
背景情况:
- *NLP使机器能够处理和理解人类语言.
- * 牙科的应用包括文本分类和自然语言生成/理解.
- *NLP可以分析大量的文本以获得疾病洞察力和个性化护理.
研究的目的:
- * 总结NLP在牙科中的应用.
- * 概述NLP在牙科领域的局限性.
- * 呼吁社区采取行动,改善牙科NLP.
主要方法:
- *对现有文献进行叙述性回顾.
- *对当前NLP应用和技术的分析.
- * 识别牙科NLP的挑战和潜在解决方案.
主要成果:
- * 关键的NLP应用包括症状分类,临床聊天机器人和语音识别用于记录.
- *先进的NLP技术,如循环神经网络和变压器,显示出有希望的结果,但它们需要大量的数据.
- *目前的牙科NLP研究主要使用基于规则的解决方案来处理狭窄的任务.
结论:
- *NLP即将成为各种牙科应用中的基石.
- *通过联合学习,转移学习或数据共享来克服局限性至关重要.
- * 解决可解释性,可复制性和可概括性的挑战是医疗器械批准所必需的.
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