Latest AI and machine learning research in orthopedics for healthcare professionals.
A thorough understanding of anterior cruciate ligament (ACL) function and the effects of surgical interventions on knee biomechanics requires robust technologies and simulation paradigms that align with clinical insight. In vitro orthopedic biomechanical testing for the elucidation of ACL integrity doesn't have an established testing paradigm to simulate the clinical pivot shift exam on cadaveric ...
In this paper, a new approach is proposed for localization and segmentation of the optic disc in human retina images. This new approach can find the boundary of the optic disc by an initial fuzzy clustering means algorithm. The proposed approach uses active contour model evolution based on a fuzzy clustering algorithm. The robustness of the proposed approach was evaluated with retinal imaging medi...
OBJECTIVES: To automatically measure the Cobb angle and diagnose scoliosis on chest X-rays, a computer-aided method was proposed and the reliability a...
For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground reaction force (vGRF) using a low-cost insole is p...
PURPOSE: Periodontal ligament stem cells (PDLSCs) have considerable potential for use as a means of achieving periodontal regeneration due to their no...
Since the advantages of precise operation and effective reduction of radiation, robots have become one of the best choices for solving the defects of ...
Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict and classify. Algorithms include neural networks (NN...
We propose a new method for generating synthetic CT images from modified Dixon (mDixon) MR data. The synthetic CT is used for attenuation correction (...
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc Ratio (CDR) serves as the most important indicator for glauc...
Artificial intelligence is upending many of our assumptions about the ability of computers to detect and diagnose diseases on medical images. Deep lea...
Accurate automated quantitative Cobb angle estimation that quantitatively evaluates scoliosis plays an important role in scoliosis diagnosis and treat...
PURPOSE: Knee osteoarthritis (KOA) is characterized by pain and decreased gait function. This study assessed key features that can be used as mechanic...
STUDY DESIGN: Retrospective study of prospectively collected data.
CONTEXT: Minimally invasive therapeutic modalities have been used to relieve refractory pain of knee osteoarthritis (OA).
The rehabilitation robot is an application of robotic technology for people with limb disabilities. This paper investigates a new applicable and effec...
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder a...
BACKGROUND: Quality monitoring is increasingly important to support and assure sustainability of the orthopedic practice. Surgeons in nonacademic sett...
Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and ado...
Robots in orthopedic surgery have been developed rapidly for decades and bring significant benefits to the patients and healthcare providers. However,...
Karacoline is a compound found in the plant Reichb. Although Reichb is widely used for the treatment of pain, very few studies have been carried out...