Latest AI and machine learning research in orthopedics for healthcare professionals.
PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particularly in guided tissue regeneration (GTR) and guided bone regeneration (GBR). While resorbable CMs offer advantages such as reduced patient morbidity and enhanced wound healing, their barrier function can impede vascularization, potentially compromising graft survival. Biofunctionalization of CMs with ...
BACKGROUND: Improving the image quality of cardiac gating myocardial perfusion single-photon emission computed tomography (CG MP-SPECT) is crucial for accurate diagnosis. Diffusion model (DM) has recently shown promise in MP-SPECT image denoising, but traditional DM typically require extensive computational resources and prolonged processing times. The study aims to develop and evaluate a lightwei...
Although the risk of progression varies, a subset of patients with idiopathic cytopenia of undetermined significance (ICUS) eventually develop myeloid...
Accurate identification of rock mass fractures is essential for evaluating tunnel stability and ensuring construction safety. However, existing deep l...
Effective postoperative management in orthopedic surgery is often hindered by challenges such as poor patient adherence to rehabilitation protocols, i...
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. T...
Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradabl...
OBJECTIVE: This study aimed to develop and evaluate a deep learning model based on the Vision Transformer (ViT) architecture for the automatic classif...
Cervical spondylotic myelopathy (CSM) and parkinsonian syndromes (PS) present similar motor symptoms, often causing misdiagnosis due to current clinic...
BACKGROUND: Osteoporosis (OP) is projected to be a major issue significantly impacting the well-being of middle-aged and old populations. Machine lear...
OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in patients with axial spondyloarthritis (SpA). METHODS:...
OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...
The prevalence of retinal disorders is rising at an alarming rate, posing a significant risk of irreversible blindness without timely intervention. Re...
Additive manufacturing is reshaping the production of engineering components in diverse industries, such as the automotive, aerospace, defence and bio...
OBJECTIVE: To compare perioperative outcomes and early functional recovery between AI-robotic and conventional total knee arthroplasty (TKA). METHODS:...
BACKGROUND: This study aimed to elucidate key molecular alterations in the osteoarthritis (OA) synovial microenvironment through transcriptomic analys...
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential...
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, mult...
BACKGROUND: Traumatic patients usually suffer from several complex conditions that hinder their risk characterization. The aim of this study was to de...