Latest AI and machine learning research in orthopedics for healthcare professionals.
Bone mineral density (BMD) is a biomarker for frailty, and CT-derived radiodensity can be extracted fully automatically as a surrogate. Because these measurements might be affected by image noise, which varies substantially in the clinical routine, this systematic large-animal study investigates the consistency of CT-based BMD measurements under different radiation dose settings. Twenty Göttingen ...
BACKGROUND: Sleep disturbances and depressive symptoms frequently co-occur in older adults. Both conditions follow distinct, time-varying trajectories. Nevertheless, most studies rely on cross-sectional assessments, limiting evidence regarding their joint longitudinal evolution and associations with incident chronic diseases. METHODS: This study utilized data drawn from 3,221 participants (aged ≥ ...
BACKGROUND: Adult spinal deformity (ASD) is a heterogeneous condition encompassing diverse etiologies, clinical presentations, and surgical challenges...
PURPOSE: We aimed to develop and internally validate prediction models for one-month postoperative performance status (PS) after surgery for spinal me...
OBJECTIVE: Deep learning-based noise reduction enhances image quality, overcoming the tradeoff among acquisition time, spatial resolution, and signal-...
PURPOSE: This study aimed to evaluate the impact of unfractionated heparin (UFH) use during pregnancy on maternal bone mineral density (BMD) by assess...
The incidence of osteoarticular infections is steadily increasing, driven by rising road traffic injuries, greater longevity, increasing comorbidities...
BACKGROUND: Failure of fracture healing continues to pose a major challenge in orthopaedic practice, occurring in approximately 5-10% of long bone inj...
Armadillos can rapidly reconfigure their body into a rigid, enclosed sphere in active response to external threats, combining adaptive shape change wi...
BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cause of preventable blindness and can cause a signif...
PURPOSE: This study aimed to use the machine-learning methods to predict bone metastasis (BM) in patients with lung cancer. METHODS: This study includ...
BACKGROUND: Longitudinal changes in temporomandibular joint (TMJ) structures may reflect joint contact mechanics and jaw loading behaviours (Mechanobe...
BACKGROUND: Accurate detection of glenoid labral tears remains challenging; however, it is essential for guiding treatment and return-to-play decision...
OBJECTIVES: Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progress...
Progression to moderate-to-severe myelofibrosis (MF) in JAK2 V617F-positive myeloproliferative neoplasms (MPNs) is often clinically silent, and bone m...
Early-onset scoliosis (EOS) refers to spinal deformity occurring in children younger than 10 years of age. The main goals of EOS treatment are not onl...
The application of artificial intelligence in decision support for spinal surgery has developed rapidly and now widely covers key steps such as automa...
BACKGROUND: Concurrent chemoradiotherapy (CCRT) was highly effective in treating cervical cancer (CC) but raised the risk of bone marrow suppression. ...
BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with...
In stereotactic body radiotherapy for bone metastases using the CyberKnife system, spinal anatomy is generally employed as the alignment reference. Ho...