日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Standardised Transparent Orthopaedic Reporting and Modelling for AI (STORM-AI)-Guidelines for reporting artificial intelligence studies in orthopaedics from the ESSKA AI Working Group

标准化透明骨科人工智能报告和建模(STORM-AI)——欧洲骨科医师协会(ESSKA)人工智能工作组制定的骨科人工智能研究报告指南

Oettl, Felix C; Zsidai, Bálint; Yu, Yinan; Pruneski, James; Tischer, Thomas; Pareek, Ayoosh; Grassi, Alberto; Zaffagnini, Stefano; Hirschmann, Michael T; Samuelsson, Kristian

Determination of Skeletal Age From Hand Radiographs Using Deep Learning

利用深度学习从手部X光片确定骨龄

Bram, Joshua T; Pareek, Ayoosh; Beber, Samuel A; Jones, Ruth H; Shariatnia, M Moein; Daliliyazdi, Amir; Tracey, Olivia C; Green, Daniel W; Fabricant, Peter D

Artificial Intelligence Applications in Musculoskeletal Imaging

人工智能在肌肉骨骼成像中的应用

Shariatnia, M Moein; Bagherieh, Sara; Semnani, Farbod; Rafiei, Nazanin; Avval, Atlas Haddadi; Ollivier, Matthieu; Musahl, Volker; Pareek, Ayoosh

Which treatment strategy for irreparable rotator cuff tears is most cost-effective? A Markov model-based cost-utility analysis comparing superior capsular reconstruction, lower trapezius tendon transfer, subacromial balloon spacer implantation and reverse shoulder arthroplasty

对于不可修复的肩袖撕裂,哪种治疗策略最具成本效益?基于马尔可夫模型的成本效用分析比较了肩关节囊上部重建术、斜方肌下部肌腱转移术、肩峰下球囊垫片植入术和反向肩关节置换术。

Oeding, Jacob F; Kunze, Kyle N; Pareek, Ayoosh; Samuelsson, Kristian

A practical guide to the implementation of AI in orthopaedic research-Part 7: Risks, limitations, safety and verification of medical AI systems

骨科研究中人工智能实施实用指南——第七部分:医疗人工智能系统的风险、局限性、安全性和验证

Winkler, Philipp W; Zsidai, Bálint; Hamrin Senorski, Eric; Pruneski, James A; Hirschmann, Michael T; Ley, Christophe; Tischer, Thomas; Herbst, Elmar; Pareek, Ayoosh; Musahl, Volker; Oeding, Jacob F; Oettl, Felix C; Longo, Umile Giuseppe; Samuelsson, Kristian; Feldt, Robert

A practical guide to the implementation of artificial intelligence in orthopaedic research-Part 3: How orthopaedic research benefits from the implementation of artificial intelligence

人工智能在骨科研究中的应用实用指南——第三部分:人工智能的应用如何使骨科研究受益

Pruneski, James A; Pareek, Ayoosh; Zsidai, Bálint; Oeding, Jacob F; Hughes, Jonathan D; Oettl, Felix C; Winkler, Philipp W; Tischer, Thomas; Herbst, Elmar; Grassi, Alberto; Hirschmann, Michael T; Ley, Christophe; Yu, Yinan; Samuelsson, Kristian

Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review

机器学习模型预测前交叉韧带重建术后翻修或二次膝关节损伤风险的区分能力和准确性存在差异:一项系统性综述

Blackman, Benjamin; Vivekanantha, Prushoth; Mughal, Rafay; Pareek, Ayoosh; Bozzo, Anthony; Samuelsson, Kristian; de Sa, Darren

Robotic-Assisted Arthroscopy Promises Enhanced Procedural Efficiency, Visualization, and Control but Must Overcome Barriers to Adoption

机器人辅助关节镜手术有望提高手术效率、可视化程度和控制力,但必须克服推广应用方面的障碍。

Kunze, Kyle N; Ferguson, David; Pareek, Ayoosh; Colyvas, Nicholas

A practical guide to the implementation of AI in orthopaedic research, Part 6: How to evaluate the performance of AI research?

骨科研究中人工智能实施的实用指南,第 6 部分:如何评估人工智能研究的绩效?

Oettl, Felix C; Pareek, Ayoosh; Winkler, Philipp W; Zsidai, Bálint; Pruneski, James A; Senorski, Eric Hamrin; Kopf, Sebastian; Ley, Christophe; Herbst, Elmar; Oeding, Jacob F; Grassi, Alberto; Hirschmann, Michael T; Musahl, Volker; Samuelsson, Kristian; Tischer, Thomas; Feldt, Robert

Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review

深度学习在腿长差异X光片腿长测量诊断中的性能:系统评价

Lezak, Bradley A; Pruneski, James A; Oeding, Jacob F; Kunze, Kyle N; Williams, Riley J 3rd; Alaia, Michael J; Pearle, Andrew D; Dines, Joshua S; Samuelsson, Kristian; Pareek, Ayoosh