Artificial Intelligence and Its Potential Application in Advancing Hip Osteoarthritis Care

R. Marks
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引用次数: 0

Abstract

Background: Hip joint osteoarthritis remains an incurable disabling health condition. Aim: To examine what trends exist in the realm of Artificial Intelligence [AI] applications to hip osteoarthritis. Methods: An in-depth literature review focusing on hip osteoarthritis and selected artificial intelligence association’s themes was conducted. Results: Artificial intelligence is being widely studied and applied in the realms of hip osteoarthritis diagnoses and surgical factors and approaches, but less so in the clinical, and deterministic spheres. Conclusion: Future expanded research efforts that integrate the features of the whole joint and person-environment factors and their association with favorable and unfavorable hip osteoarthritis outcomes are needed and are likely to prove promising and save immense human and service costs. Keywords: Arthroplasty; Artificial Intelligence; Deep Learning, Diagnosis; Hip Osteoarthritis; Machine Learning; Outcomes; Pathology; Prevention; Surgery
人工智能及其在推进髋关节骨关节炎治疗中的潜在应用
背景:髋关节骨关节炎仍然是一种无法治愈的致残性健康状况。目的:研究人工智能[AI]应用于髋关节骨关节炎领域的趋势。方法:以髋关节骨关节炎为研究重点,选取人工智能协会相关主题,进行深入的文献综述。结果:人工智能在髋关节骨关节炎诊断、手术因素和方法等领域得到了广泛的研究和应用,但在临床和确定性领域的研究和应用较少。结论:未来需要扩大研究工作,整合整个关节的特征和人-环境因素及其与髋关节骨性关节炎的有利和不利结果的关联,并可能证明有希望并节省巨大的人力和服务成本。关键词:关节成形术;人工智能;深度学习、诊断;髋关节骨关节炎;机器学习;结果;病理学;预防;手术
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