Orthopedics

Using artificial intelligence to predict health-related quality of life for adolescent idiopathic scoliosis.

PURPOSE: Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life (HRQoL) including poor psychosocial functioning, body image, and psychological distress. Surgical management for AIS is common; however, there is limited consensus on preoperative and intraoperative strategies to optimize HRQoL outcomes. Accurate prediction of postoperative outcomes can help inform ...

Cloud-Enabled Automated CT Assessment of Pelvic Muscle Quality in Women With and Without Low-Energy Femoral Neck Fracture.

This retrospective study aimed to compare pelvic muscle parameters between female patients with and without femoral neck fractures and to evaluate the feasibility of an automated CT-based workflow for exploring associations between pelvic muscle quality measures and femoral neck fracture status. The study included 119 female patients with low-energy femoral neck fractures and 107 age-matched femal...

Predicting the risk of bone erosion in rheumatoid arthritis using a SHAP-based interpretable machine learning model.

OBJECTIVE: Bone erosion (BE) is a critical prognostic indicator in rheumatoid arthritis (RA). This study aimed to develop and validate an interpretabl...

Predicting gingival embrasure risk after invisible orthodontics using multimodal data and machine learning.

OBJECTIVE: To develop and validate a risk prediction model for gingival embrasures after clear aligner therapy using multimodal oral data. METHODS: A ...

Effect of cataracts on systemic factor prediction from fundus images.

OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by comparing predictive values before and after catar...

Side-to-side differences in hip bone mineral density and associated morphological factors.

UNLABELLED: In the analysis of 82 participants using quantitative computed tomography (QCT) images, side-to-side differences in hip bone mineral densi...

Physics-Informed Neural Networks for Real-Time Muscle-Tendon Force Estimation from Wearable Sensors.

Clinicians currently lack practical tools to quantify muscle-tendon forces outside of research laboratories, limiting load-management decisions during...

Prognostic value of nutritional and inflammatory biomarkers in patients with non-small cell lung cancer and bone metastasis: A retrospective study.

To evaluate the prognostic significance of nutritional-inflammatory biomarkers in non-small cell lung cancer (NSCLC) patients with bone metastases. Th...

Quantitative reference map of retinopathy of prematurity improves diagnostic reliability and treatment decisions.

BACKGROUND/AIMS: Retinopathy of prematurity (ROP) zone classification guides disease severity assessment and Early Treatment for Retinopathy of Premat...

Semantic edge detection of fractures in geological outcrops using edge aware dilated convolutional networks.

Natural fracture networks govern subsurface fluid flow, rock-mass stability, and strain accommodation in the brittle crust, yet their automated deline...

Integrating multi-source geoscience data with RF-weighted conditional variational autoencoders (CVAE) for porphyry copper prospectivity mapping: an application to the Ardestan district, Central Iran.

Porphyry Cu deposits in the Urmia-Dokhtar magmatic belt constitute important exploration targets, yet the heterogeneous and multi-scale nature of geol...

Exploring the role of pain-related fear and lifting biomechanics in predicting low back pain incidence using supervised machine learning.

Greater lifting-specific pain-related fear has been associated with reduced lumbar spine motion during lifting, suggesting fear-driven protective move...

Benchmarking deep learning pipelines for surgical instrument segmentation in endoscopic spine surgery: cross-dataset evaluation under deployment-realistic conditions.

PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in endoscopic spine surgery. Deployment-realistic compa...

Mandibular Angle Bone Appositions in Bruxism: A Deep Learning-Based Detection and Staging Study.

This study aims to automatically detect, classify, and stage bone apposition changes in the mandibular angle region associated with bruxism using pano...

Novel opportunistic imaging biomarkers with AI-assisted sarcopenia assessment associated with survival after liver transplantation for hepatocellular carcinoma.

INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outco...

Patient-Specific Instrumentation Improves Technical Execution Accuracy After Artificial Intelligence-Assisted Preoperative Planning in Medial Unicompartmental Knee Arthroplasty.

BACKGROUND: Artificial intelligence (AI)-assisted preoperative planning may improve anatomic characterization and implant-size prediction in unicompar...

Peptide Therapeutics in Orthopaedics: Current Evidence and Future Directions.

➢ Peptides lack a rigid tertiary structure, allowing them to adopt a variety of conformations, and can be engineered for specific targets. This articl...

AI-Powered Simulation for Nursing Education: Mixed Methods Systematic Review.

BACKGROUND: Traditional simulation-based nursing education is often constrained by high costs, resource intensity, and limited scalability. AI-powered...

Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost).

BACKGROUND: Predicting pain intensity in patients with low back pain (LBP) remains a complex task due to the biopsychosocial nature of pain. Pain inte...

Sequential multi-site fine-tuning for incremental deployment of large language models for mobility functional status extraction.

OBJECTIVE: This study evaluated sequential multi-site fine-tuning of large language models (LLMs), simulating incremental deployment across institutio...