Highly accurate acoustical prediction using support vector machine algorithm for post-operative subsidence after cementless total hip arthroplasty

Article Orthopedics

Acoustic characteristics of broaching procedure for post-operative stem subsidence in cementless total hip arthroplasty

Xu Zhuang et al.

Summary: This study aimed to develop a prediction model for the incidence of post-operative stem subsidence using acoustic parameters during the broaching procedure and to assess its accuracy. The results showed that nine acoustic parameters were significantly correlated with the value of stem subsidence. A prediction model was established with good predictive values.

INTERNATIONAL ORTHOPAEDICS (2022)

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Review Orthopedics

Machine Learning for the Orthopaedic Surgeon Uses and Limitations

Daniel Alsoof et al.

Summary: Machine learning, a subset of artificial intelligence, is being increasingly used in orthopaedic research for radiographic diagnosis, gait analysis, implant identification, and patient outcome prediction. Despite current limitations, future work can overcome these issues and make machine learning a valuable tool for orthopaedic surgeons in clinical decision-making.

JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME (2022)

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Article Multidisciplinary Sciences

Artificial intelligence for distinguishment of hammering sound in total hip arthroplasty

Yasuhiro Homma et al.

Summary: Recent studies have focused on analyzing the hammering sound during the insertion of cementless stems in total hip arthroplasty to reduce complications. A preliminary feasibility study demonstrated that artificial intelligence using machine learning can accurately distinguish the final rasping hammering sound from previous sounds.

SCIENTIFIC REPORTS (2022)

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Article Orthopedics