Artificial intelligence advances in bone tumor imaging research

YAN Jiayang; WANG Xiang; DUAN Guangwen; LIU Shiyuan

doi:10.19732/j.cnki.2096-6210.2024.04.016

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Artificial intelligence advances in bone tumor imaging research

更新时间：2025-12-15

- Artificial intelligence advances in bone tumor imaging research
- Vol. 33, Issue 4, Pages: 448-453(2024)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.04.016
  CLC：
- Published Online：13 September 2024，
  
  Published：13 September 2024
- 稿件说明：
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阎嘉阳,王祥,段广闻,等. 人工智能在骨肿瘤影像研究中的进展[J]. 肿瘤影像学, 2024, 33(4): 448-453 https://doi.

org/10.19732/j.cnki.2096-6210.2024.04.016
阎嘉阳,王祥,段广闻,等. 人工智能在骨肿瘤影像研究中的进展[J]. 肿瘤影像学, 2024, 33(4): 448-453 https://doi. DOI： 10.19732/j.cnki.2096-6210.2024.04.016.

org/10.19732/j.cnki.2096-6210.2024.04.016 DOI：

摘要

近年来，人工智能技术在医学影像领域发展迅速，应用于骨肿瘤的研究也日益增多，包括肿瘤分割、分类、化疗效果评估以及患者预后预测等方面。这些进展有助于开发相关计算机辅助诊断工具，以减少漏诊和不必要的活检，且可以指导临床决策和确立个性化治疗策略，推进骨肿瘤精准治疗的进程。人工智能技术在多项研究中显示出其优越性，随着样本量逐步增加以及模型不断迭代，人工智能模型将逐步用于临床实践，有望成为骨肿瘤诊治过程中的重要工具，为精准医疗助力。

Abstract

In recent years

artificial intelligence (AI) technology has experienced a rapid development in the field of medical imaging

with increasing applications in bone tumor imaging. These applications encompass tasks such as tumor segmentation

classification

chemotherapy efficacy evaluation

and prognostic prediction. These advancements facilitate the development of related computer-aided diagnostic tools

which assist in reducing misdiagnoses and unnecessary biopsies. Furthermore

they can guide the formulation of clinical decisions and personalized treatment strategies

thereby advancing the process of precise treatment for bone tumors. Multiple studies have established the superiority of AI technology. With the gradual expansion of sample sizes and continuous refinement of models

AI models are expected to gradually be integrated into clinical practice and emerge as essential tools in the diagnosis and treatment of bone tumors

aiding precision medicine.

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Related Institution

Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences

Department of Ultrasound, Shanghai Punan Hospital of Pudong New District

Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University

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