Orthopedics

The effect of vitamin D insufficiency on outcomes and complication rates after shoulder arthroplasty: a single center retrospective examination.

BACKGROUND: The impact of hypovitaminosis D in patients undergoing shoulder arthroplasty has yet to ...

Minimally invasive percutaneous screw internal fixation under robot navigation for the treatment of a hamate bone fracture.

PURPOSE: Hamate fractures are rare fractures of the wrist and there is still no consensus on the opt...

Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.

OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material...

Artificial Intelligence in Spine Surgery.

The amount and quality of data being used in our everyday lives continue to advance in an unpreceden...

Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.

PURPOSES: To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical s...

Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.

RATIONALE AND OBJECTIVES: To construct and validate a deep learning radiomics (DLR) model based on X...

Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery.

BACKGROUND: This study aimed to evaluate the risk factors for machine learning (ML) algorithms in pr...

Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review.

PURPOSE: This systematic review aimed to investigate the reliability of AI predictive models of intr...

Automated Detection of the Thoracic Ossification of the Posterior Longitudinal Ligament Using Deep Learning and Plain Radiographs.

Ossification of the ligaments progresses slowly in the initial stages, and most patients are unaware...

Role of arachidonic acid metabolism in intervertebral disc degeneration: identification of potential biomarkers and therapeutic targets via multi-omics analysis and artificial intelligence strategies.

BACKGROUND: Intervertebral disc degeneration (IVDD) is widely recognized as the primary etiological ...

Deep-Learning Automation of Preoperative Radiographic Parameters Associated With Early Periprosthetic Femur Fracture After Total Hip Arthroplasty.

BACKGROUND: The radiographic assessment of bone morphology impacts implant selection and fixation ty...

Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI.

PURPOSE: The aim of study was to employ the Cycle Generative Adversarial Network (CycleGAN) deep lea...

Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.

RATIONALE AND OBJECTIVES: To evaluate the standalone performance of a deep learning (DL) based fract...

Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy.

OBJECTIVE: Recent advancements in augmented reality led to planning and navigation systems for ortho...

Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology.

Accurate and efficient classification and quantification of CD34+ cells are essential for the diagno...

Joint Reconfiguration after Failure for Performing Emblematic Gestures in Humanoid Receptionist Robot.

This study proposed a strategy for a quick fault recovery response when an actuator failure problem ...

Practical Applications of Artificial Intelligence in Spine Imaging: A Review.

Artificial intelligence (AI), a transformative technology with unprecedented potential in medical im...

Answer to the letter to the editor of H. Daungsupawong et al. concerning "Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?" by R. Stroop et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07975-z).

Quantitative analysis of optic disc changes in school-age children with ametropia based on artificial intelligence.

AIM: To explore changes in the optic disc and peripapillary atrophy (PPA) in school-age children wit...

Classification of rib fracture types from postmortem computed tomography images using deep learning.

Human or time resources can sometimes fall short in medical image diagnostics, and analyzing images ...

Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT.

OBJECTIVE: This study aims to develop a weakly supervised deep learning (DL) model for vertebral-lev...