Latest AI and machine learning research in orthopedics for healthcare professionals.
Purpose To evaluate the robustness of an award-winning bone age deep learning (DL) model to extensiv...
ChatGPT is reported to be an acceptable tool to answer a majority of frequently asked patient questi...
Spine surgery has grown into a wide, complex field encompassing trauma surgery to deformity to tumou...
Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs)...
OBJECTIVES: The aim of the review is to evaluate the existing precision of artificial intelligence (...
OBJECTIVE: Osteoporosis is a systemic bone disease characterized by low bone mass, damaged bone micr...
Background Preoperative discrimination of preinvasive, minimally invasive, and invasive adenocarcino...
A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scol...
OBJECTIVE: To demonstrate that a T2 periodically rotated overlapping parallel lines with enhanced re...
Artificial intelligence (AI) chatbots utilizing large language models (LLMs) have recently garnered ...
OBJECTIVE: To identify inflamm-aging related biomarkers in osteoarthritis (OA).
Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis of hematological diso...
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if not t...
Background Differentiating between benign and malignant vertebral fractures poses diagnostic challen...
Traditional spine surgery frequently encounters difficulties with inadequate surgical visualization ...
OBJECTIVES: To review studies on deep learning (DL) models for classification, detection, and segmen...
OBJECTIVE: To investigate the preliminary clinical effect of closed reduction and cannulated nail in...
OBJECTIVE: To explore and compare the clinical efficacy of orthopedic robot assisted femoral neck sy...