当前位置:
X-MOL 学术
›
Periodontol. 2000
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Artificial intelligence and personalized diagnostics in periodontology: A narrative review
Periodontology 2000 ( IF 17.5 ) Pub Date : 2024-06-27 , DOI: 10.1111/prd.12586 Vinay Pitchika 1 , Martha Büttner 2 , Falk Schwendicke 1
Periodontology 2000 ( IF 17.5 ) Pub Date : 2024-06-27 , DOI: 10.1111/prd.12586 Vinay Pitchika 1 , Martha Büttner 2 , Falk Schwendicke 1
Affiliation
Periodontal diseases pose a significant global health burden, requiring early detection and personalized treatment approaches. Traditional diagnostic approaches in periodontology often rely on a “one size fits all” approach, which may overlook the unique variations in disease progression and response to treatment among individuals. This narrative review explores the role of artificial intelligence (AI) and personalized diagnostics in periodontology, emphasizing the potential for tailored diagnostic strategies to enhance precision medicine in periodontal care. The review begins by elucidating the limitations of conventional diagnostic techniques. Subsequently, it delves into the application of AI models in analyzing diverse data sets, such as clinical records, imaging, and molecular information, and its role in periodontal training. Furthermore, the review also discusses the role of research community and policymakers in integrating personalized diagnostics in periodontal care. Challenges and ethical considerations associated with adopting AI‐based personalized diagnostic tools are also explored, emphasizing the need for transparent algorithms, data safety and privacy, ongoing multidisciplinary collaboration, and patient involvement. In conclusion, this narrative review underscores the transformative potential of AI in advancing periodontal diagnostics toward a personalized paradigm, and their integration into clinical practice holds the promise of ushering in a new era of precision medicine for periodontal care.
中文翻译:
牙周病学中的人工智能和个性化诊断:叙述性回顾
牙周病给全球健康带来了巨大负担,需要早期发现和个性化治疗方法。牙周病学的传统诊断方法通常依赖于“一刀切”的方法,这可能会忽视个体之间疾病进展和治疗反应的独特差异。这篇叙述性综述探讨了人工智能 (AI) 和个性化诊断在牙周病学中的作用,强调了定制诊断策略在牙周护理中增强精准医疗的潜力。该综述首先阐明传统诊断技术的局限性。随后,深入探讨了人工智能模型在分析临床记录、影像和分子信息等不同数据集方面的应用,及其在牙周训练中的作用。此外,该综述还讨论了研究界和政策制定者在将个性化诊断整合到牙周护理中的作用。还探讨了与采用基于人工智能的个性化诊断工具相关的挑战和伦理考虑,强调透明算法、数据安全和隐私、持续的多学科协作和患者参与的需要。总之,这篇叙述性综述强调了人工智能在推动牙周诊断走向个性化范式方面的变革潜力,并将其融入临床实践有望开创牙周护理精准医学的新时代。
更新日期:2024-06-27
中文翻译:
牙周病学中的人工智能和个性化诊断:叙述性回顾
牙周病给全球健康带来了巨大负担,需要早期发现和个性化治疗方法。牙周病学的传统诊断方法通常依赖于“一刀切”的方法,这可能会忽视个体之间疾病进展和治疗反应的独特差异。这篇叙述性综述探讨了人工智能 (AI) 和个性化诊断在牙周病学中的作用,强调了定制诊断策略在牙周护理中增强精准医疗的潜力。该综述首先阐明传统诊断技术的局限性。随后,深入探讨了人工智能模型在分析临床记录、影像和分子信息等不同数据集方面的应用,及其在牙周训练中的作用。此外,该综述还讨论了研究界和政策制定者在将个性化诊断整合到牙周护理中的作用。还探讨了与采用基于人工智能的个性化诊断工具相关的挑战和伦理考虑,强调透明算法、数据安全和隐私、持续的多学科协作和患者参与的需要。总之,这篇叙述性综述强调了人工智能在推动牙周诊断走向个性化范式方面的变革潜力,并将其融入临床实践有望开创牙周护理精准医学的新时代。