Latest AI and machine learning research in orthopedics for healthcare professionals.
This paper introduces a Deep Learning (DL) framework to localize landmark coordinates within the semicircular canals in Computed Tomography (CT) scans of the temporal bone. These landmarks can be consistently defined across patients and imaging modalities and as such can serve as a means of forming a common coordinate system. We propose a DL based framework for automating the landmark selection pr...
Red blood cell distribution width (RDW)-derived indicators have increasingly been recognized as biomarkers reflecting systemic inflammation and hematological disorders. However, the prognostic value of these indicators in critically ill patients with pulmonary hypertension (PH), especially the dynamic implications of their temporal changes, remains insufficiently elucidated. A total of 990 adult p...
BACKGROUND: Systematic reviews and meta-analyses represent the highest level of evidence in clinical research, but the process of article retrieval an...
Three-dimensional (3D) chromatin architecture is a fundamental regulatory layer for linking hierarchical chromatin organization to gene expression and...
OBJECTIVES: Artificial intelligence (AI) tools enable automated assessment of vertebral bone mineral density (BMD), coronary artery calcification (CAC...
BACKGROUND: Intervertebral disc degeneration (IDD) is a leading cause of global disability. This study aimed to systematically investigate the role of...
BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis contin...
PURPOSE: Multimodal large language models (LLMs) offer emerging capabilities in medical image interpretation; however, their efficacy in orthopedic on...
BACKGROUND: Percutaneous endoscopic interlaminar discectomy (PEID) is a common surgical technique for lumbar disc herniation (LDH), but the risk facto...
OBJECTIVE: Musculoskeletal dynamics influence the progression and rehabilitation of movement-related conditions. However, estimating whole-body dynami...
BACKGROUND: The accurate classification of operative notes is essential for surgical outcomes research; however, CPT code classification is notoriousl...
ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and typically result from high-energy trauma, most ofte...
Effective image preprocessing is critical for ensuring the robustness and generalizability of downstream models by preventing shortcut learning on spu...
Carbapenemase-producing Enterobacterales (CPE) present limited therapeutic options. Optimal treatment requires identifying the carbapenemase type, oft...
Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractures. This study uses machine learning (ML) techniqu...
The growing demand for lightweight, high-strength materials in the aerospace and automotive industries has brought aluminium alloys such as AA2024-T35...
OBJECTIVE: In positron emission tomography (PET)/magnetic resonance imaging (MRI), attenuation correction (AC) for PET of the head is achieved by MRI ...
Osteoarthritis (OA) is a chronic, disabling condition whose pathogenesis remains unclear. TRPM4 is closely associated with OA, but its specific roles ...
BACKGROUND/AIM: Artificial intelligence (AI) and large language models (LLMs) are rapidly entering dental imaging workflows. We conducted a diagnostic...
BACKGROUND: Knee osteoarthritis (OA) is a degenerative, progressive joint disease with narrowing of the joint space, formation of osteophytes, and scl...