Orthopedics

The uncovered biases and errors in clinical determination of bone age by using deep learning models.

OBJECTIVES: To evaluate AI biases and errors in estimating bone age (BA) by comparing AI and radiolo...

The accuracy of a novel self-tapping bone fiducial marker for frameless robot-assisted stereo-electro-encephalography implantation and registration techniques.

BACKGROUND: We aimed to evaluate the accuracy and safety of a novel self-tapping bone fiducial as a ...

Bone collision detection method for robot assisted fracture reduction based on vibration excitation.

BACKGROUND AND OBJECTIVE: In the process of robotic fracture reduction, there is a risk of unintende...

A review on tissue-needle interaction and path planning models for bevel tip type flexible needle minimal intervention.

A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, par...

Robot-assisted percutaneous vertebroplasty for osteoporotic vertebral compression fractures: a retrospective matched-cohort study.

PURPOSE: This study aims to introduce the principle, clinical efficacy, and learning curve of robot-...

Remote orthopedic robotic surgery: make fracture treatment no longer limited by geography.

[New technologies and robotics].

The development of increasingly more complex computer and electromotor technologies enables the incr...

Dip-coating electromechanically active polymer actuators with SIBS from midblock-selective solvents to achieve full encapsulation for biomedical applications.

Soft and compliant ionic electromechanically active polymer actuators (IEAPs) are a promising class ...

Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning.

BACKGROUND: For knee osteoarthritis, the commonly used radiology severity criteria Kellgren-Lawrence...

A strong and tough gelatin/polyvinyl alcohol double network hydrogel actuator with superior actuation strength and fast actuation speed.

Hydrogels are widely used in actuators that are applied in numerous fields such as multifunctional s...

Diagnosis of nasal bone fractures on plain radiographs via convolutional neural networks.

This study aimed to assess the performance of deep learning (DL) algorithms in the diagnosis of nasa...

Robot-assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty.

To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...

Achieving functional alignment in total knee arthroplasty: early experience using a second-generation imageless semi-autonomous handheld robotic sculpting system.

PURPOSE: In order to minimize errors during achieving the targeted alignment of the total knee arthr...

A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction.

Multi-contrast magnetic resonance imaging (MRI) can provide richer diagnosis information. The data a...

Stature estimation by semi-automatic measurements of 3D CT images of the femur.

Stature estimation is one of the most basic and important methods of personal identification. The lo...

Robot and ultrasound assisted needle insertion to the transverse carpal ligament.

BACKGROUND: A potential alternative treatment to surgery for carpal tunnel syndrome is to inject enz...

Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach.

Joint dynamic properties play essential roles in a wide range of biomechanical movement control. Thi...

A Deep Learning Model for Automatic Detection and Classification of Disc Herniation in Magnetic Resonance Images.

Localization of lumbar discs in magnetic resonance imaging (MRI) is a challenging task, due to a vas...

Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy.

The success of human civilization is rooted in our ability to cooperate by communicating and making ...

Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual network.

PURPOSE: Bone identification and segmentation in X-ray images are crucial in orthopedics for the aut...

Comparison of Modern Control Methods for Soft Robots.

With the rise in new soft robotic applications, the control requirements increase. Therefore, precis...