人工智能在肌肉骨骼疾病患者诊断与预后评估中的应用
Artificial Intelligence in the Diagnosis and Prognostication of the Musculoskeletal Patient.
作者信息
Girod Miguel M, Saniei Sami, Ulrich Marisa N, Bukowiec Lainey G, Mulford Kellen L, Taunton Michael J, Wyles Cody C
机构信息
Orthopedic Surgery Artificial Intelligence Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
出版信息
HSS J. 2025 May 28:15563316251339660. doi: 10.1177/15563316251339660.
Abstract
As artificial intelligence (AI) advances in healthcare, encompassing robust applications for the diagnosis and prognostication of musculoskeletal diseases, clinicians must increasingly understand the implications of machine learning and deep learning in their practice. This review article explores computer vision algorithms and patient-specific, multimodal prediction models; provides a simple framework to guide discussion on the limitations of AI model development; and introduces the field of generative AI.
摘要
随着人工智能（AI）在医疗保健领域的发展，涵盖了用于肌肉骨骼疾病诊断和预后的强大应用，临床医生必须越来越了解机器学习和深度学习在其实践中的影响。这篇综述文章探讨了计算机视觉算法和针对特定患者的多模态预测模型；提供了一个简单的框架来指导关于AI模型开发局限性的讨论；并介绍了生成式AI领域。
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