با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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Artificial Intelligence and Arthroplasty at a Single Institution: Real-World Applications of Machine Learning to Big Data, Value-Based Care, Mobile Health, and Remote Patient Monitoring
هوش مصنوعی و آرتروپلاستی در یک مؤسسه واحد: برنامه های کاربردی دنیای واقعی آموزش ماشین به داده های بزرگ ، مراقبت های مبتنی بر ارزش ، سلامت موبایل و نظارت از راه دور بیمار-2019 Background: Driven by the recent ubiquity of big data and computing power, we established the Machine
Learning Arthroplasty Laboratory (MLAL) to examine and apply artificial intelligence (AI) to musculoskeletal
medicine.
Methods: In this review, we discuss the 2 core objectives of the MLAL as they relate to the practice and
progress of orthopedic surgery: (1) patient-specific, value-based care and (2) human movement.
Results: We developed and validated several machine learning-based models for primary lower extremity
arthroplasty that preoperatively predict patient-specific, risk-adjusted value metrics, including
cost, length of stay, and discharge disposition, to provide improved expectation management, preoperative
planning, and potential financial arbitration. Additionally, we leveraged passive, ubiquitous mobile
technologies to build a small data registry of human movement surrounding TKA that permits remote
patient monitoring to evaluate therapy compliance, outcomes, opioid intake, mobility, and joint range of
motion.
Conclusion: The rapid rate with which we in arthroplasty are acquiring and storing continuous data,
whether passively or actively, demands an advanced processing approach: AI. By carefully studying AI
techniques with the MLAL, we have applied this evolving technique as a first step that may directly
improve patient outcomes and practice of orthopedics. Keywords: machine learning | arthroplasty | value | big data | remote patient monitoring |
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