Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVE: Management of the temporomandibular joint (TMJ) following condylar resection remains chal...
Although previous investigations reported a reduced sense of agency when individuals act with tradit...
Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-depen...
Recently, large volumes of false or unverified information (e.g., fake news and rumors) appear frequ...
Accurate identification and localization of the vertebrae in CT scans is a critical and standard pre...
In MIMO-OFDM systems, pilot design and estimation algorithm jointly determine the reliability and ef...
Product defect inspections are extremely important for industrial manufacturing processes. It is nec...
Epidural anesthesia requires injection of anesthetic into the epidural space in the spine. Accurate ...
OBJECTIVE: Deep learning has the potential to automatically triage orthopedic emergencies, such as j...
PURPOSE: Robot-assisted technology is a forefront of surgical innovation that improves the accuracy ...
OBJECTIVES: Disseminated bone marrow (BM) involvement is frequent in multiple myeloma (MM). Whole-bo...
OBJECTIVE: To develop a deep learning-assisted recovery and nursing system after total hip arthropla...
According to the characteristics and division rules of the modules, this paper divides the rotary mo...
OBJECTIVE: Periprosthetic dislocations of total hip arthroplasty (THA) are time-sensitive injuries, ...
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especi...
High-grade B-cell lymphoma (HGBL) is a newly introduced category of rare and heterogeneous invasive ...
Entity relationship extraction is one of the key areas of information extraction and is an important...
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical interventio...
Manual patient handling is one of the most significant challenges leading to musculoskeletal burden ...
PURPOSE: To propose a fully automated deep learning (DL) framework for the vertebral morphometry and...
The study was aimed at analyzing the application value of deep learning-based computed tomography (C...