Orthopedics

Current Status of AI-Assisted Screening for Opportunistic Osteoporosis.

STF: A Unified Framework for Joint Pixel-Level Segmentation and Tracking of Tissues in Endoscopic Surgery.

Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complications such as vascular bleeding or nerve injury. However, existing video segmentation methods often fail to maintain long-term robustness due to target loss and challenging conditions (e.g., occlusion, motion blur), limiting their applicability in prolonged surgical procedures. To address these limit...

Enhanced X-ray Knee Osteoarthritis Classification: A Multi-classification Approach using MambaOut and Latent Diffusion Model.

Knee Osteoarthritis (KOA) is a prevalent degenerative joint disease affecting millions worldwide. Accurate classification of KOA severity is crucial f...

Geometry-Enhanced Multiscale Joint Representation Learning for Drug-Target Interaction Prediction.

Drug-target interactions (DTIs) are the basis of the therapeutic effect of drugs, whose accurate prediction helps reduce the cost and time of experime...

Artificial intelligence in knee osteoarthritis imaging and total knee arthroplasty: advances, challenges, and segmentation methods - A review.

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent degenerative joint diseases and a significant cause of disability. Total Knee Arthr...

Acetyl tributyl citrate as a new risk factor for osteoporosis: An integrated study from multi-level toxicological assessment and experimental validation.

This study aimed to elucidate the toxicological effects and underlying mechanisms of the plasticizer acetyl tributyl citrate (ATBC) on osteoporosis (O...

[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].

OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for...

Structured reporting in knee MRI.

Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiology, promising enhanced clarity and consistency in e...

A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study.

BACKGROUND: Currently, reliable preoperative methods for predicting vertebral artery (VA) invasion are lacking. The authors develop a novel model base...

Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength level.

PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction kernels and deep-learning image reconstruction at ...

Predicting HFA 30-2 Visual Fields with Deep Learning from Multimodal OCT-Fundus Feature Fusion and Structure-Function Discordance Analysis.

Glaucoma is a leading cause of irreversible vision loss. During clinical follow-up, visual field (VF) tests (Humphrey Field Analyzer 30-2) assesses fu...

Prediction of myeloid malignant cells in Fanconi anemia using machine learning.

Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA patients develop aplastic anemia during childhood...

Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal.

The quantification and identification of components in archaeological micromorphology remain subjective and challenging, particularly for early-career...

Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms.

Detection of high precision skin lesions, especially melanoma, are still a major challenge in medical imagination due to their close visual equality a...

Investigating the role of sensorimotor versus contextual cues in the sense of joint agency: a human-human and human-robot study.

Sense of Joint Agency (SoJA), is the feeling of control experienced by humans for their own, as well as their partner's actions, when acting in joint ...

Coniferyl aldehyde in ginger-Eucommiae Cortex enhances osteoarthritis treatment by modulating ALDOA and H3K23la histone lactylation.

BACKGROUND AND PURPOSE: Eucommiae Cortex (EC), a traditional Chinese medicinal herb, has been utilized to treat osteoarthritis (OA). The therapeutic e...

Deep-learning pipeline for automated skeletal muscle segmentation and sarcopenia detection.

BACKGROUND: Sarcopenia, characterized by progressive skeletal muscle loss, is associated with poor outcomes in various diseases. Traditional methods f...

Selection of joint replacement methods based on AI cartilage model.

Construction of musculoskeletal quantitative model based on deep learning and study of musculoskeletal relationship in patients with osteoporosis.

INTRODUCTION: Lumbar CT and MRI scans are helpful for osteoporosis (OP) screening. Deep learning enhances the efficiency and accuracy of musculoskelet...

Inter-rater reliability of a classification systems for distal radius fractures using radiology text and x-rays: what really matters?

PURPOSE: This study used different metrics to assess the reliability of radiology text and images in Distal Radial Fractures (DRF) classifications usi...