AIMC Topic: Knee Joint
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In slope-changing osteotomy one millimeter is not one degree: results of an artificial intelligence-automated software analysis.
International orthopaedics
Dec 27, 2022
BACKGROUND: Anterior closing wedge osteotomies (ACWO) are performed in revision anterior cruciate ligament (ACL) surgery to correct an excessive posterior tibial slope (PTS).
A More Posterior Tibial Tubercle (Decreased Sagittal Tibial Tubercle-Trochlear Groove Distance) Is Significantly Associated With Patellofemoral Joint Degenerative Cartilage Change: A Deep Learning Analysis.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Dec 26, 2022
PURPOSE: To perform patellofemoral joint (PFJ) geometric measurements on knee magnetic resonance imaging scans and determine their relations with chondral lesions in a multicenter cohort using deep learning.
Editorial for "Deep-Learning-Based Contrast Synthesis From MRF Parameter Maps in the Knee Joint".
Journal of magnetic resonance imaging : JMRI
Dec 23, 2022
Deep-Learning-Based Contrast Synthesis From MRF Parameter Maps in the Knee Joint.
Journal of magnetic resonance imaging : JMRI
Dec 23, 2022
BACKGROUND: Magnetic resonance fingerprinting (MRF) is a method to speed up acquisition of quantitative MRI data. However, MRF does not usually produce contrast-weighted images that are required by radiologists, limiting reachable total scan time imp...
Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning.
Journal of orthopaedic surgery and research
Dec 14, 2022
BACKGROUND: For knee osteoarthritis, the commonly used radiology severity criteria Kellgren-Lawrence lead to variability among surgeons. Most existing diagnosis models require preprocessed radiographs and specific equipment.
Robot-assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty.
Research in nursing & health
Dec 12, 2022
To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily activity ability of older adults following total knee arthroplasty (TKA). Eighty-eight patients who underwent TKA were randomly assigned to a robot-assis...
Achieving functional alignment in total knee arthroplasty: early experience using a second-generation imageless semi-autonomous handheld robotic sculpting system.
International orthopaedics
Dec 12, 2022
PURPOSE: In order to minimize errors during achieving the targeted alignment of the total knee arthroplasty (TKA) components, robotic-assisted surgery has been introduced with the aim to help surgeons to improve implant survival, clinical outcomes, a...
Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach.
Medical engineering & physics
Dec 7, 2022
Joint dynamic properties play essential roles in a wide range of biomechanical movement control. This paper develops a device with a novel mechatronic design to apply small-amplitude perturbations to the human knee. Surface Electromyography is employ...
Preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty with patient-specific cartilage thickness measurement.
Journal of robotic surgery
Nov 25, 2022
This study aimed to assess the preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty (TKA) with patient-specific cartilage thickness measurement. Patients who underwent kinematically aligned robot-assisted TKA were incl...
Automated Detection of Surgical Implants on Plain Knee Radiographs Using a Deep Learning Algorithm.
Medicina (Kaunas, Lithuania)
Nov 19, 2022
: The number of patients who undergo multiple operations on a knee is increasing. The objective of this study was to develop a deep learning algorithm that could detect 17 different surgical implants on plain knee radiographs. : An internal dataset c...
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