Orthopedics

Integrating Artificial Intelligence into Mixed Reality for Back Detection and Virtual 3D Spine Visualization on Scoliosis Patients.

Adolescent Idiopathic Scoliosis is a complex three-dimensional spinal deformity that typically devel...

Comprehensive Prediction of the Relative Modulus of Strut-Based Gyroid Lattice Structures Employing an ML-Based Surrogate Model.

Due to its porous structure, tunable properties, and nearly isotropic characteristics, the Gyroid La...

Investigating the potential risk of cadmium exposure on Osteoporosis: An integrated multi-omics approach.

Osteoporosis (OP) is a chronic progressive bone disease, and its occurrence and development under ca...

LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.

Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to as...

Evaluating DeepResearch and DeepThink in anterior cruciate ligament surgery patient education: ChatGPT-4o excels in comprehensiveness, DeepSeek R1 leads in clarity and readability of orthopaedic information.

PURPOSE: This study compares ChatGPT-4o, equipped with its deep research feature, and DeepSeek R1, e...

Artificial intelligence-assisted analysis of musculoskeletal imaging-A narrative review of the current state of machine learning models.

The potential of Artificial intelligence (AI) is increasingly recognized in musculoskeletal radiolog...

Differentiation of Healthy Ex Vivo Bovine Tissues Using Raman Spectroscopy and Interpretable Machine Learning.

OBJECTIVES: Integrating machine learning with Raman spectroscopy (RS) shows strong potential for int...

AI in Orthopedic Research: A Comprehensive Review.

Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhanci...

Pain score patterns after total knee arthroplasty determined by an unsupervised learning algorithm.

Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates.

BACKGROUND: Accurate determination of B/T-cell lineage and the presence of the ETV6-RUNX1 translocat...

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

OBJECTIVES: This study evaluated the performance of a multi-stage Segmentation Residual Network (Seg...

Application of artificial intelligence-based three dimensional digital reconstruction technology in precision treatment of complex total hip arthroplasty.

PURPOSE: To evaluate the predictive ability of AI HIP in determining the size and position of prosth...

Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.

PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a ...

Deep learning-driven spectral exploration for metal-insulator-metal plasmonic metasurfaces.

Metal-insulator-metal plasmonic metasurfaces exhibit intricate spectral responses arising from the i...

Mechanical properties of graphene oxide from machine-learning-driven simulations.

Graphene oxide (GO) materials have complex chemical structures that are linked to their macroscopic ...

Antibacterial, Antifreezing, and Tough Electronic Skin Based on a Tanned Collagen Fiber Network for Underwater Grabber Application.

The environment of underwater salvage is very special, and many factors such as real-time water cond...

[The standardization and digitalization and intelligentization represent the future development direction of hip arthroscopy diagnosis and treatment technology].

In recent years, hip arthroscopy has made great progress and has been extended to the treatment of i...

Interfacial Insights and Remediation Strategies through Molecular Dynamics Probing of Nanoparticle Interactions in Cementitious Matrices: A Review.

Enhancing the performance and longevity of cementitious nanocomposites requires a comprehensive unde...

Recent advancements in feature extraction and classification based bone cancer detection - a systematic review.

Cancer is a deadly disease that occurs due to the uncontrolled growth of abnormal cells. Bone cancer...

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacki...

A novel deep learning system for automated diagnosis and grading of lumbar spinal stenosis based on spine MRI: model development and validation.

OBJECTIVE: The study aimed to develop a single-stage deep learning (DL) screening system for automat...