Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Showing 4180-4200 of 5,319 articles
Artificial intelligence for image analysis in total hip and total knee arthroplasty : a scoping review.

AIMS: Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are common orthopaedic procedur...

Measuring Knee Joint Laxity in Three Degrees-of-Freedom In Vivo Using a Robotics- and Image-Based Technology.

Accurate and reliable information about three-dimensional (3D) knee joint laxity can prevent misdiag...

Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children.

Joint attention is the capacity of sharing attention between two agents and an aspect of the environ...

Modeling the Influence of the Human Form and Ambulation Context on Moment- and Power-Generating Abilities of Soft Hip-Flexion Exosuits.

Exosuits are close-fitting devices, which are meant to be worn without restricting the motion of the...

Testing the Limit Range of Motion Safety Function of Upper Limb Rehabilitation Robots with an Anthropometrically Adjustable and Sensorized Dummy Limb.

Arm type or exoskeleton type rehabilitation robots move the patient's upper limb through one or more...

Deep Learning Method for Hip Knee Ankle Angle Prediction on Postoperative Full-Limb Radiographs of Total Knee Arthroplasty Patients.

This study developed and evaluated deep learning models for prediction of hip knee ankle angle (HKAA...

Prediction of lower limb kinematics from vision-based system using deep learning approaches.

The joint angular velocity during daily life exercises is an important clinical outcome for injury r...

Accurate Continuous Prediction of 14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep Learning.

Natural control of assistive devices requires continuous positional encoding and decoding of the use...

Development of Needle Guide Unit Considering Buckling Bone-Perforation Control Strategy Based on Computed Tomography-Guided Needle Insertion Robot.

A computed tomography (CT)-guided robotic assistance system is useful for needle insertion into meta...

Comparison of Mechanistic and Learning-based Tip Force Estimation on Tendon-driven Soft Robotic Catheters.

Researchers have adopted mechanistic and learning-based approaches for tip force estimation on soft ...

Deep Learning Networks for View-independent Knee and Elbow Joint Angle Estimation.

Vision-based human joint angle estimation is essential for remote and continuous health monitoring. ...

Stiffness Adaptation of a Hybrid Soft Surgical Robot for Improved Safety in Interventional Surgery.

Minimally invasive instruments are inserted per-cutaneously and are steered toward the desired anato...

Estimating infant upper extremities motion with an RGB-D camera and markerless deep neural network tracking: A validation study.

Quantitative biomarkers of infant motion may be predictive of the development of movement disorders....

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.

Multimodal brain networks characterize complex connectivities among different brain regions from bot...

Treatment of the hook of hamate fracture with robot navigation: A note on technique.

OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the ...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harves...

Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method.

PURPOSE: To evaluate the applicability of Greulich-Pyle (GP) standards to bone age (BA) assessment i...

A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration.

We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals...

Parkland Trauma Index of Mortality: Real-Time Predictive Model for Trauma Patients.

OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techn...

[Arthroscopic-assisted fracture reduction combined with robot-navigated nail placement to treat talar neck fractures].

This study aims to explore the clinical efficacy of arthroscopic-assisted reduction combined with ro...

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