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走向数字牙周健康:最近的进展和未来的前景
Fatemeh Soheili1,2, Niloufar Delfan1,3, Negin Masoudifar4
1Biologically Inspired Sensors and Actuators Laboratory (BIOSA), Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.
牙周病影响全球50%以上的人口. 本综述探讨了人工智能 (AI) 如何改善这些常见口腔健康状况的早期检测和治疗.
科学领域:
- 口腔健康 口腔健康
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 牙周病,包括牙周炎和牙周炎,是广泛传播的口腔感染,影响了全球一半以上的人口.
- 这些疾病包括牙和骨炎症,对口腔健康构成重大风险,并与心血管疾病等全身性疾病有关.
- 早期发现和预防是关键的公共卫生目标,人工智能 (AI) 提供了有前途的技术整合.
研究的目的:
- 审查目前关于识别牙周病原因和进展的研究.
- 探索人工智能在提高牙周病早期检测和治疗策略方面的作用.
- 突出早期干预的重要性,并鼓励在人工智能驱动的牙周诊断领域进行跨学科研究.
主要方法:
- 关于牙周病的现有研究的综合文献综述.
- 对专注于致病因素和疾病进展的研究进行分析.
- 检查AI在牙周病的诊断和管理中的应用.
主要成果:
- 牙周病与系统性健康问题有关,强调它们对公共卫生的重要性.
- 人工智能技术显示出提高牙周病早期检测的准确性和效率的潜力.
- 目前的研究强调了需要进一步探索AI在临床实践中的必要性.
结论:
- 早期检测和干预对于改善患者在牙周病管理中的结果至关重要.
- 人工智能整合为推进牙周病的诊断和治疗提供了重大机会.
- 临床医生,生物工程师和AI专家之间的进一步合作对于实现AI在这个领域的全部潜力至关重要.
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