Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: The Delbet-Colonna (DC) classification guides treatment of pediatric femoral neck fractures (PFNFs) but relies on clinical experience. No deep learning (DL) model has been developed and validated to differentiate between PFNFs and proximal femoral growth plates (PFGPs) and classify PFNFs via DC classification, in order to overcome this limitation. MATERIALS AND METHODS: X-ray data incl...
BACKGROUND: Supraspinatus tendon pathologies are common causes of shoulder pain. Magnetic resonance imaging (MRI) is the reference imaging method but requires expert interpretation. Automated classification may improve diagnostic consistency and support musculoskeletal imaging workflows. OBJECTIVE: This study aimed to develop and evaluate a hierarchical deep learning model to classify supraspinatu...
Orbital reconstruction after trauma or pathology requires precise restoration of anatomical symmetry to prevent functional and aesthetic impairment. A...
BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis occurring in the majority of patients, often leadi...
BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been...
BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical outcomes research but is time-intensive and prone t...
OBJECTIVE: This study aimed to assess the correlation of bisphenol A (BPA) exposure with low back pain (LBP) and determine if the underlying molecular...
RATIONALE AND OBJECTIVES: Manual Cobb angle measurement can exhibit high interrater variability, potentially affecting scoliosis management decisions....
Monteggia fractures exhibit a high missed diagnosis rate of over 20%, largely attributable to their subtle radiographic presentation and frequently lo...
Pediatric fracture detection in plain radiographs presents distinct clinical challenges due to the presence of growth plates, incomplete ossification,...
BACKGROUND: Malignant Peripheral Nerve Sheath Tumors (MPNSTs) are aggressive sarcomas often arising in the spine, characterized by high metastatic pot...
BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due to tumor burden, neurologic compromise, and limite...
VBAC assessment is crucial for stroke risk evaluation, but manual segmentation is time-consuming and subject to inter-observer variability. We develop...
OBJECTIVE: This study aimed to evaluate the accuracy and consistency of responses provided by three large language models (LLMs), ChatGPT-5.2, Gemini-...
BACKGROUND: Soft-tissue knee abnormalities are common, yet first-line radiography provides limited soft-tissue contrast, whereas MRI or arthroscopy is...
Biofilm-associated infections present a critical therapeutic challenge due to antibiotic resistance and impaired tissue healing. Here, we present a mi...
OBJECTIVE: To conduct a preliminary single-center feasibility study of a YOLO-based deep-learning model for automated detection of lumbar disc herniat...
Osteoarthritis (OA) is a multifactorial joint disease propelled by interrelated pathological processes including synovial inflammation, failure of joi...
This phantom study aimed to determine whether a novel non-artificial intelligence image-sharpening approach improves the visibility of reference point...
RATIONALE AND OBJECTIVES: Zero echo time (ZTE) is an advanced MRI technique providing CT-like images of mineralized tissues. This study evaluates the ...