Emergence of deep learning in knee osteoarthritis diagnosis
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
[HTML][HTML] Machine learning in knee osteoarthritis: A review
Objective The purpose of present review paper is to introduce the reader to key directions of
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis …
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis …
Using a Google web search analysis to assess the utility of ChatGPT in total joint arthroplasty
JA Dubin, SS Bains, Z Chen, D Hameed, J Nace… - The Journal of …, 2023 - Elsevier
Background Rapid technological advancements have laid the foundations for the use of
artificial intelligence in medicine. The promise of machine learning (ML) lies in its potential …
artificial intelligence in medicine. The promise of machine learning (ML) lies in its potential …
Post hoc explanations may be ineffective for detecting unknown spurious correlation
We investigate whether three types of post hoc model explanations–feature attribution,
concept activation, and training point ranking–are effective for detecting a model's reliance …
concept activation, and training point ranking–are effective for detecting a model's reliance …
A novel hybrid approach based on deep cnn features to detect knee osteoarthritis
In the recent era, various diseases have severely affected the lifestyle of individuals,
especially adults. Among these, bone diseases, including Knee Osteoarthritis (KOA), have a …
especially adults. Among these, bone diseases, including Knee Osteoarthritis (KOA), have a …
Follow my eye: Using gaze to supervise computer-aided diagnosis
When deep neural network (DNN) was first introduced to the medical image analysis
community, researchers were impressed by its performance. However, it is evident now that …
community, researchers were impressed by its performance. However, it is evident now that …
[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …
can be captured by imaging modalities and translated into imaging features. Observing …
DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification
Recent developments in deep learning have impacted medical science. However, new
privacy issues and regulatory frameworks have hindered medical data sharing and …
privacy issues and regulatory frameworks have hindered medical data sharing and …
Detection and classification of knee osteoarthritis
JH Cueva, D Castillo, H Espinós-Morató, D Durán… - Diagnostics, 2022 - mdpi.com
Osteoarthritis (OA) affects nearly 240 million people worldwide. Knee OA is the most
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
Chatcad+: Towards a universal and reliable interactive cad using llms
The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs)
presents a promising frontier in clinical applications, notably in automating diagnostic …
presents a promising frontier in clinical applications, notably in automating diagnostic …