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Bone fracture detection-Can artificial intelligence replace doctors in orthopedic radiography analysis?

作者信息

Hussain Aariz, Fareed Areeba, Taseen Shafaq

机构信息

Karachi Medical and Dental College and Abbasi Shaheed Hospital, Karachi, Sindh, Pakistan.

出版信息

Front Artif Intell. 2023 Aug 1;6:1223909. doi: 10.3389/frai.2023.1223909. eCollection 2023.

DOI:10.3389/frai.2023.1223909
PMID:37593091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10427856/
Abstract
摘要

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Vis Comput Ind Biomed Art. 2023 May 18;6(1):9. doi: 10.1186/s42492-023-00136-5.
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Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.人工智能和机器学习在髋部骨折诊断和分类中的应用:系统评价。
J Orthop Surg Res. 2022 Dec 1;17(1):520. doi: 10.1186/s13018-022-03408-7.
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Bone Fracture Detection Using Deep Supervised Learning from Radiological Images: A Paradigm Shift.基于放射图像深度监督学习的骨折检测:一种范式转变
Diagnostics (Basel). 2022 Oct 7;12(10):2420. doi: 10.3390/diagnostics12102420.
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Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.人工智能解决方案在放射科医生日常创伤急诊工作流程中检测骨折的附加价值。
Diagn Interv Imaging. 2022 Dec;103(12):594-600. doi: 10.1016/j.diii.2022.06.004. Epub 2022 Jun 29.
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Using AI to Improve Radiographic Fracture Detection.利用人工智能改善X线骨折检测。
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Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology.当前和新兴的人工智能在儿科肌肉骨骼放射学中的应用。
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