Latest AI and machine learning research in orthopedics for healthcare professionals.
Chronic kidney disease (CKD) risk assessment is shifting from centralized instrument-heavy testing to personalized point-of-care evaluation enabled by portable platforms. However, integration of multibiomarker analysis and the deep learning algorithm to improve detection accuracy in CKD is still a persistent goal. Herein, this work has developed an artificial intelligence (AI)-empowered and bio-/n...
Rib identification in chest CT is time-consuming and labor-intensive, as clinicians repetitively examine hundreds of CT slices to pinpoint a certain rib on a random slice. Computer-aided rib numbering tools exist, however, their performance hinges on precise rib segmentation which is challenged by missing ribs or oversegmentation of adjacent bone structures. We propose Dual sagittal-guided Coarse-...
OBJECTIVE: This study aimed to develop a deep learning (DL) model for the detection of cervical spinal cord compression on cervical radiographs and co...
OBJECTIVE: Advanced cardiovascular-kidney-metabolic (CKM) syndrome carries substantial mortality risk, yet the independent and joint prognostic roles ...
Orbital fractures are frequently encountered in maxillofacial trauma and can be associated with severe globe injuries (SGI). Accurate and timely diagn...
To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (F...
HIGHLIGHTS: Moderate handle lift angles (27°-56°) and handle lift heights (545-1111 mm) reduce hip/shoulder flexion. Lighter tools (<2.0 kg) lower MSD...
This study attempts to develop a deep learning (DL) model to grade Glenohumeral OA (GHOA) in shoulder x-ray images based on the Hamada classification ...
BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combin...
OBJECTIVE: This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structu...
Artificial Intelligence (AI) has rapidly become a widespread technology, with many forms being freely accessible to anyone with internet access. Recen...
BACKGROUND AND OBJECTIVES: Proximal junctional kyphosis (PJK) and proximal junctional failure (PJF) remain significant complications after long-segmen...
Peri-implantitis is a major biological complication that compromises the longevity of dental implants, and accurate radiographic assessment is essenti...
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...
Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abd...
Cleft lip and palate (CLP) and alveolar cleft are common congenital craniofacial anomalies, with postoperative maxillary hypoplasia and secondary defo...
Healthcare systems in the United States are now mandated to provide patients with immediate access to medical results. Access to complex results prior...
Bone age assessment (BAA) is a widely used clinical technique that can accurately reflect an individual's growth and development level, as well as mat...
This study presents a machine learning framework for fracture risk prediction and in silico validation of synthetic biomedical data. A retrospective d...