Orthopedics

Prediction and related genes of cancer distant metastasis based on deep learning.

Cancer metastasis is one of the main causes of cancer progression and difficulty in treatment. Genes...

Letter to the editor concerning "Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?" by R. Stroop et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07975-z).

A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH).

OBJECTIVE: To examine the correlation between specific indicators and the quality of hip joint ultra...

MRI-based automated multitask deep learning system to evaluate supraspinatus tendon injuries.

OBJECTIVE: To establish an automated, multitask, MRI-based deep learning system for the detailed eva...

Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur.

RATIONALE AND OBJECTIVES: To evaluate the performance of machine learning analysis based on proximal...

Vision-controlled jetting for composite systems and robots.

Recreating complex structures and functions of natural organisms in a synthetic form is a long-stand...

Robotic-Assisted Single-Position Prone Lateral Lumbar Interbody Fusion: Indications, Techniques, and Outcomes.

BACKGROUND: Lateral lumbar interbody fusion (LLIF) is a widely utilized minimally invasive surgical ...

Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review.

BACKGROUND: Bone age assessment, as an indicator of biological age, is widely used in orthodontics a...

Efficacy of the newly designed "SkyWalker" robot compared to the MAKO robotic system in primary total knee arthroplasty: a one-year follow-up study.

PURPOSE: Robot-assisted surgical systems for performing total knee arthroplasty (TKA) have gained si...

Arthroscopic Bone Grafting and Robot-assisted Fixation for Scaphoid Nonunion.

OBJECTIVES: Scaphoid nonunion remains a challenging problem to manage with no general consensus on i...

Development of AI-Based Diagnostic Algorithm for Nasal Bone Fracture Using Deep Learning.

Facial bone fractures are relatively common, with the nasal bone the most frequently fractured facia...

Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.

Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to discr...

Evaluation of deep learning training strategies for the classification of bone marrow cell images.

BACKGROUND AND OBJECTIVE: The classification of bone marrow (BM) cells by light microscopy is an imp...

Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias.

BACKGROUND: Skeletal dysplasias collectively affect a large number of patients worldwide. Most of th...

Acute effects of robot-assisted body weight unloading on biomechanical movement patterns during overground walking.

Body weight unloading (BWU) is used in rehabilitation/training settings to reduce kinetic requiremen...

Predicting root fracture after root canal treatment and crown installation using deep learning.

BACKGROUND/PURPOSE: Vertical root fracture (VRF) is a prevalent reason for tooth extraction followin...

Estimation of Lower Limb Joint Angles and Joint Moments during Different Locomotive Activities Using the Inertial Measurement Units and a Hybrid Deep Learning Model.

Using inertial measurement units (IMUs) to estimate lower limb joint kinematics and kinetics can pro...

Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis.

BACKGROUND: The Kellgren-Lawrence (KL) grading system is the most widely used method to classify the...

Effect of 4-weeks exercise program using wearable hip-assist robot (EX1) in older adults: one group pre- and post- test.

BACKGROUND: Older adults have muscle loss and are at risk of falling. Recently, research in the heal...

Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI.

PURPOSE: To assess the feasibility of deep learning (DL)-based k-space-to-image reconstruction and s...

Deep learning-based workflow for hip joint morphometric parameter measurement from CT images.

Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arth...