[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Use of machine learning in osteoarthritis research: a systematic literature review
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in
trauma patients, which is also the key component for trauma survey. None of the currently …
trauma patients, which is also the key component for trauma survey. None of the currently …
Applications of artificial intelligence in orthopaedic surgery
F Farhadi, MR Barnes, HR Sugito, JM Sin… - Frontiers in medical …, 2022 - frontiersin.org
The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Automated classification of rheumatoid arthritis, osteoarthritis, and normal hand radiographs with deep learning methods
Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain,
function limitation, and permanent joint damage in the hands. Plain hand radiographs are …
function limitation, and permanent joint damage in the hands. Plain hand radiographs are …
[HTML][HTML] John charnley award: deep learning prediction of hip joint center on standard pelvis radiographs
SJ Jang, KN Kunze, JM Vigdorchik, SA Jerabek… - The Journal of …, 2022 - Elsevier
Background Accurate hip joint center (HJC) determination is critical for preoperative
planning, intraoperative execution, clinical outcomes after total hip arthroplasty, and …
planning, intraoperative execution, clinical outcomes after total hip arthroplasty, and …
Application of artificial intelligence technology in the field of orthopedics: a narrative review
P Liu, J Zhang, S Liu, T Huo, J He, M Xue… - Artificial Intelligence …, 2024 - Springer
Artificial intelligence (AI) was a new interdiscipline of computer technology, mathematic,
cybernetics and determinism. These years, AI had obtained a significant development by the …
cybernetics and determinism. These years, AI had obtained a significant development by the …
Handling imbalanced data: Uncertainty-guided virtual adversarial training with batch nuclear-norm optimization for semi-supervised medical image classification
In manyclinical settings, a lot of medical image datasets suffer from imbalance problems,
which makes predictions of trained models to be biased toward majority classes. Semi …
which makes predictions of trained models to be biased toward majority classes. Semi …
A novel hybrid machine learning based system to classify shoulder implant manufacturers
It is necessary to know the manufacturer and model of a previously implanted shoulder
prosthesis before performing Total Shoulder Arthroplasty operations, which may need to be …
prosthesis before performing Total Shoulder Arthroplasty operations, which may need to be …
Deep learning for orthopedic disease based on medical image analysis: Present and future
JH Lee, SW Chung - Applied Sciences, 2022 - mdpi.com
Since its development, deep learning has been quickly incorporated into the field of
medicine and has had a profound impact. Since 2017, many studies applying deep learning …
medicine and has had a profound impact. Since 2017, many studies applying deep learning …