Orthopedics

​​Deep learning-based support system for alignment classification and correction guidance in postoperative total knee arthroplasty lateral radiographs.

Femoral Valgus Leads to Earlier Total Hip Arthroplasty Independent of Acetabular Coverage, While Varus Deformity Has a Protective Effect.

BACKGROUND: The presence of acetabular dysplasia or femoro-acetabular impingement increases the chance of an earlier total hip arthroplasty (THA). Surprisingly, the influence of femoral and acetabular parameters on the age at which THA is required remains poorly investigated. The aim of this study was to evaluate the radiographic hip morphotype at the time of THA using an artificial intelligence-b...

Identification of common genetic features and pathways for osteoporosis with frozen shoulder by integrated bioinformatics analysis and machine learning.

Frozen shoulder (FS) and osteoporosis (OP) are common age-related degenerative diseases, occurring more frequently in females, which suggests potentia...

Enhanced Visualization of Intracranial Cortical Arteries Using Deep Learning Reconstruction in Vessel Wall MR Imaging.

This study evaluated the utility of deep learning reconstruction (DLR) in vessel wall imaging (VWI) for visualizing the entire cerebral arterial syste...

AI-supported opportunistic detection of vertebral fractures on routine CT scans: Diagnostic performance and clinical relevance.

BACKGROUND: Vertebral fractures (VFs) are among the most common osteoporotic fractures, yet they are frequently underdiagnosed and left untreated. The...

Artificial intelligence in spine care: A scoping review of treatment applications.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in healthcare to support decision-making, personalize treatment, and improve outcomes...

Impact of Generative AI-Enhanced Low-Dose Cone-Beam Computed Tomography on Diagnosis and Treatment Planning for Impacted Mandibular Third Molars.

OBJECTIVES: To evaluate whether generative artificial intelligence (Gen-AI) could significantly enhance the visibility of the mandibular canal (MC) an...

Diagnostic performance of X-ray-based deep learning models for detecting ankle and foot fractures: a systematic review and meta-analysis.

OBJECTIVES: Lower extremity fractures are prevalent in vulnerable populations leading to significant burdens, which highlight the need for timely and ...

Optimizing knee MRI: 3D proton density turbo spin echo nDixon sequence vs. 2D high-resolution turbo spin echo in half the acquisition time.

OBJECTIVES: The objective of this study was to evaluate the use of a single proton density (PD) new Dixon (nDixon) three-dimensional turbo spin echo (...

An explainable machine learning model predicts 30-day readmission after vertebral augmentation.

Osteoporotic vertebral compression fracture (OVCF) patients face high 30-day readmission risks after vertebral augmentation procedures (VAPs). Using e...

An Interpretable Machine Learning Model Based on MRI Features for Predicting Pain Severity in Temporomandibular Disorders.

BACKGROUND: Chronic pain around the temporomandibular joint (TMJ) and masticatory muscles is a primary symptom of temporomandibular disorders (TMD). H...

Deep Learning-Assisted Prediction of Air-Bone Gap Using Tympanic Membrane Perforation Image Features.

OBJECTIVE: To evaluate a deep learning (DL)-based approach for predicting air-bone gap (ABG) from tympanic membrane (TM) perforation images using auto...

Advancing deep learning based knee cartilage segmentation in MRI: Innovations, challenges and applications.

OBJECTIVE: Recent advancements in deep learning (DL) have advanced knee cartilage segmentation in Magnetic Resonance Imaging (MRI), offering scalable,...

ERANet: Edge replacement augmentation for semi-supervised meniscus segmentation with prototype consistency alignment and conditional self-training.

The meniscus, a fibrocartilaginous structure within the knee joint, plays an essential role in joint stability and the prevention of knee osteoarthrit...

3D printed scaffolds regulated by neural-bone metabolic coupling promote bone unit regeneration.

The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tissue, and functional blood vessels. As a functional...

Iterative learning for joint image denoising and motion artifact correction of 3D brain MRI.

Image noise and motion artifacts greatly affect the quality of brain magnetic resonance imaging (MRI) and negatively influence downstream medical imag...

Transformer-based multi-scale feature fusion for real-time CT bone metastasis detection.

Bone metastasis, a frequent complication of advanced cancers, requires early, precise detection to enable timely interventions and improve patient out...

Deep learning for automated alveolar cleft segmentation and bone graft volume estimation in cone-beam computed tomography imaging: a multicenter study.

OBJECTIVE: To train and validate a deep learning-based diagnostic tool capable of accurately segmenting the alveolar cleft region and automatically es...

Comparison of RETFound and a Supervised Convolutional Neural Network for Detection of Referable Glaucoma from Fundus Photographs.

PURPOSE: To compare the performance of a vision transformer-based foundation model (RETFound) and a supervised convolutional neural network (VGG-19) f...

In-situ NIR spectroscopy study on microgravity-induced articular cartilage degeneration with ResNet-18.

Articular cartilage (AC) plays a vital role in maintaining joint function, but it is highly vulnerable to degeneration due to the lack of mechanical l...