Orthopedics

Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

INTRODUCTION: Proximal humeral fractures account for a significant proportion of all fractures. Deta...

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning.

Digital radiography is widely available and the standard modality in trauma imaging, often enabling ...

Deep Learning Algorithms Improve the Detection of Subtle Lisfranc Malalignments on Weightbearing Radiographs.

BACKGROUND: Detection of Lisfranc malalignment leading to the instability of the joint, particularly...

A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images.

Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functi...

Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Pediatric gait disorders are often chronic and accompanied by various complications, which challenge...

Aerial-aquatic robots capable of crossing the air-water boundary and hitchhiking on surfaces.

Many real-world applications for robots-such as long-term aerial and underwater observation, cross-m...

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

BACKGROUND: In infant abuse investigations, dating of skeletal injuries from radiographs is desirabl...

Automated Detection Model Based on Deep Learning for Knee Joint Motion Injury due to Martial Arts.

OBJECTIVE: Develop a set of knee joint martial arts injury monitoring models based on deep learning,...

Pincer Approach to Gastrosplenic Ligament in Robotic Total Gastrectomy for Gastric Cancer.

Motion Recognition Based on Deep Learning and Human Joint Points.

In order to solve the problem that the traditional feature extraction methods rely on manual design,...

Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays.

Cervical vertebral landmark detection is a significant pre-task for vertebral relative motion parame...

Automatic segmentation model of intercondylar fossa based on deep learning: a novel and effective assessment method for the notch volume.

BACKGROUND: Notch volume is associated with anterior cruciate ligament (ACL) injury. Manual tracking...

Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study.

BACKGROUND: This study aimed to develop and validate five machine learning models designed to predic...

Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction.

Human motion prediction aims to generate future motions based on the observed human motions. Witness...

Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited.

Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distrib...

Noise exposure during robot-assisted total knee arthroplasty.

The aim of the study was to examine the noise exposure for operating theater staff during total knee...

Development of a Robotic Spine Surgery Program: Rationale, Strategy, Challenges, and Monitoring of Outcomes After Implementation.

Surgical robots were invented in the 1980s, and since then, robotic-assisted surgery has become comm...

Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms.

: Malignant bone tumors represent a major problem due to their aggressiveness and low survival rate....

Rise of the Machines? Artificial Intelligence May Represent the Future but It Is Not Ready for Prime Time: Commentary on an article by Evan M. Polce, BS, et al.: "Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty. A Call for Improved Reporting".

Use of artificial intelligence in activating the role of Saudi universities in joint scientific research between university teachers and students.

Scientific research in Saudi Arabia's universities has undergone significant changes in recent years...

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.

Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and l...