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眼科和医学中的面部人工智能:基本和变革性的应用

Jeremy Jia Hao Chan¹, Pak Wing Leung², Helena Kilgour³

¹Colchester Hospital, East Suffolk and North Essex NHS Foundation Trust, Colchester CO4 5JL, UK.

Therapeutic advances in ophthalmology

|December 6, 2024

概括

人工智能 (AI) 为眼科和其他医学领域提供了有价值的面部处理工具. 严格的测试和仔细的实施对于将人工智能纳入医疗保健至关重要,确保它补充而不是取代临床判断.

科学领域:

医疗信息学医疗信息学
计算机视觉计算机视觉
眼科医生眼科眼科

背景情况:

人工智能 (AI) 越来越多地融入医疗保健,特别是面部处理任务.
对于临床医生和研究人员来说,了解人工智能命名和概念对于这个不断发展的领域至关重要.
面部处理应用在包括眼科在内的各种医疗专业中具有重要意义.

研究的目的:

阐明面部处理任务的多样化应用.
突出这些人工智能应用对眼科和其他医学专业的相关性.
审查眼科和相关外科领域内面部处理人工智能的当前文献.

主要方法:

在PubMed和Ovid上使用关键词进行了系统的文献搜索:"眼科"",面部人工智能"",面部识别"和"周围轨道测量".
该搜索涵盖了2012年9月至2022年9月期间发表的文章.
纳入标准侧重于涉及人体患者的研究,包括眼科,整形,大面部和美容手术的眼部病变,其中AI处理了面部生物识别. 在选后,包括了20篇文章.

主要成果:

面部处理任务包括面部地标提取,面部检测,面部跟踪,面部表情识别和动作单元检测.
人工智能应用在眼科中显示出潜力,用于围绕轨道测量和分析眼睛状况等任务.
在初步搜索后,该审查确定了20项相关研究,分别从PubMed和Ovid获得了291篇和513篇文章.

结论:

人工智能驱动的面部处理通过自动化任务和帮助临床决策,为医疗保健提供了潜在的好处.
挑战包括需要严格测试,管理层参与,以及专门硬件/软件的成本.
人工智能应该增强,而不是取代临床决策,必须解决患者对减少临床医生接触的担忧.

关键词:

面部人工智能的人工智能面部处理任务面部处理任务眼科眼科眼科审查审查审查审查审查审查

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