Orthopedics

[Artificial intelligence-powered robotic joint surgery:application,research progress,and prospects].

Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and kne...

DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer.

BACKGROUND: Osteoporosis (OP) is one of the most common diseases in the elderly population. It is mo...

Evaluation of temporomandibular joint disc displacement with MRI-based radiomics analysis.

OBJECTIVES: The purpose of this study was to propose a machine learning model and assess its ability...

Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review.

OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) alg...

Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?

OBJECTIVES: This study aimed to clarify the performance of MRI-based deep learning classification mo...

Exploring the Mechanisms of Sanguinarine in the Treatment of Osteoporosis by Integrating Network Pharmacology Analysis and Deep Learning Technology.

BACKGROUND: Sanguinarine (SAN) has been reported to have antioxidant, antiinflammatory, and antimicr...

[Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study].

METHODS: We retrospectively collected CT scan data from 276 patients with pathologically confirmed p...

JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.

Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is cruc...

Temporomandibular joint and masticatory muscles morphometry and morphology in healthy subjects and individuals with temporomandibular dysfunction: An anatomical, radiological, and machine learning application study.

The study aimed to compare the morphometric and morphologic analyses of the bone structures of tempo...

Understanding Occlusion and Temporomandibular Joint Function Using Deep Learning and Predictive Modeling.

OBJECTIVES: Advancements in artificial intelligence (AI)-driven predictive modeling in dentistry are...

Identification of KCNQ1 as a diagnostic biomarker related to endoplasmic reticulum stress for intervertebral disc degeneration based on machine learning and experimental evidence.

Intervertebral disc degeneration (IDD) is a primary cause of low back pain and disability. Cellular ...

Using Deep Learning to Suggest Treatment for Proximal Humerus Fractures.

Proximal humeral fractures are among the most common fractures seen in emergency departments. Accura...

Spines and Inclines: Bioinspired Spines on an Insect-Scale Robot Facilitate Locomotion on Rough and Inclined Terrain.

To navigate complex terrains, insects use diverse tarsal structures (adhesive pads, claws, spines) t...

Machine Learning Models to Predict Bone Metastasis Risk in Patients With Lung Cancer.

INTRODUCTION: The aim of this study was to find the most appropriate variables to input into machine...

Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

OBJECTIVES: Recently, deep learning medical image analysis in orthopedics has become highly active. ...

[Early gait analysis after total knee arthroplasty based on artificial intelligence dynamic image recognition].

OBJECTIVE: To explore early postoperative gait characteristics and clinical outcomes after total kne...

[Application of digital orthopaedic technology with artificial intelligence in the field of joint arthroplasty].

Predicting Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty: Insights from Fair and Explainable Ensemble Machine Learning.

Reoperation is the most significant complication following any surgical procedure. Developing machin...

[Applications of artificial intelligence for imaging-driven diagnosis and treatment of bone and soft tissue tumors].

Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone a...

Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements a...

External validation of the SORG machine learning for 90-day and 1-year mortality in patients suffering from extremity metastatic disease in an European cohort of 174 patients.

Accurate survival prediction of patients with long-bone metastases is challenging, but important for...