Machine learning in orthopedics: a literature review
In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …
published in the last two decades in which the authors described the application of a …
Bone age assessment with various machine learning techniques: a systematic literature review and meta-analysis
BACKGROUND The assessment of bone age and skeletal maturity and its comparison to
chronological age is an important task in the medical environment for the diagnosis of …
chronological age is an important task in the medical environment for the diagnosis of …
Artificial intelligence and ChatGPT in Orthopaedics and sports medicine
Artificial intelligence (AI) is looked upon nowadays as the potential major catalyst for the
fourth industrial revolution. In the last decade, AI use in Orthopaedics increased …
fourth industrial revolution. In the last decade, AI use in Orthopaedics increased …
A decision support system for classification of normal and medical renal disease using ultrasound images: a decision support system for medical renal diseases
Early detection of medical renal disease is important as the same may lead to chronic kidney
disease which is an irreversible stage. The present work proposes an efficient decision …
disease which is an irreversible stage. The present work proposes an efficient decision …
[HTML][HTML] Automated bone age assessment using artificial intelligence: the future of bone age assessment
BD Lee, MS Lee - Korean journal of radiology, 2021 - ncbi.nlm.nih.gov
Bone age assessments are a complicated and lengthy process, which are prone to inter-and
intra-observer variabilities. Despite the great demand for fully automated systems …
intra-observer variabilities. Despite the great demand for fully automated systems …
Prediction of hand‐wrist maturation stages based on cervical vertebrae images using artificial intelligence
Objective To predict the hand‐wrist maturation stages based on the cervical vertebrae (CV)
images, and to analyse the accuracy of the proposed algorithms. Settings and population A …
images, and to analyse the accuracy of the proposed algorithms. Settings and population A …
Skeletal maturity recognition using a fully automated system with convolutional neural networks
In this paper, we present an automated skeletal maturity recognition system that takes a
single hand radiograph as an input and finally output the bone age prediction. Unlike the …
single hand radiograph as an input and finally output the bone age prediction. Unlike the …
Multi region-based feature connected layer (RB-FCL) of deep learning models for bone age assessment
A Wibisono, P Mursanto - Journal of Big Data, 2020 - Springer
Prediction of bone age from an x-ray is one of the methods in the medical field to support
predicting endocrine gland disease, growth abnormalities, and genetic disorders. A decision …
predicting endocrine gland disease, growth abnormalities, and genetic disorders. A decision …
Intelligent bone age assessment: An automated system to detect a bone growth problem using convolutional neural networks with attention mechanism
Skeletal bone age assessment using X-ray images is a standard clinical procedure to detect
any anomaly in bone growth among kids and babies. The assessed bone age indicates the …
any anomaly in bone growth among kids and babies. The assessed bone age indicates the …
Automatic estimation of osteoporotic fracture cases by using ensemble learning approaches
N Kilic, E Hosgormez - Journal of Medical Systems, 2016 - Springer
Ensemble learning methods are one of the most powerful tools for the pattern classification
problems. In this paper, the effects of ensemble learning methods and some physical bone …
problems. In this paper, the effects of ensemble learning methods and some physical bone …