改造耳,耳,耳,耳医疗:人工智能的进步和影响
Ayushmaan Pandey1, Jagdeep Kaur1, Darwin Kaushal2
1Department of Computer Science and Engineering, Dr B R Ambedkar National Institute of Technology, G. T. Road, Jalandhar, Punjab 144008 India.
概括
人工智能 (AI) 正在改变耳鼻喉 (ENT) 医疗保健,AI模型在疾病预测中显示出高准确度. 像数据质量这样的挑战需要解决,以便人工智能在耳,耳,耳,耳,耳系统中充分发挥其潜力.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,为诊断和治疗提供了潜在的进步.
- 耳鼻喉 (ENT) 领域对诊断和管理提出了独特的挑战,这些挑战可能受益于人工智能驱动的解决方案.
研究的目的:
- 系统地审查和分析人工智能的作用和影响,以改变耳,耳,耳医疗保健.
- 基于有效性,方法,数据集和性能来比较用于耳鼻腔疾病预测和检测的AI算法.
- 讨论ORT专家和AI研究人员在这个领域面临的挑战.
主要方法:
- 系统的文献审查遵循PRISMA指南.
- 从主要的科学数据库 (PubMed,Medline,SpringerLink,Elsevier,Google Scholar,ScienceDirect,IEEEExplore) 中提取数据. 这是一个非常简单的方法.
- 包括在2018-2024年期间发表的研究,重点关注在耳,耳,耳,耳医疗保健中的AI应用.
主要成果:
- 在3257篇独一无二的文章中,选出了27项初级研究.
- 其中62.5%的研究表明有效预测疾病.
- 预训练深度学习 (DL) 模型比卷积神经网络 (CNN) 更普遍,准确度在75%至97%之间.
结论:
- 耳鼻的AI研究正在迅速推进,许多模型的准确性超过90%.
- 像ChatGPT这样的交谈式AI模型在耳,耳,耳学科中表现有前途.
- 高质量的数据和解决数据变异性,类不平衡和外部验证对于提高在耳鼻腔疾病预测中的AI性能至关重要.
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