Orthopedics

Automatic detection of panoramic positioning errors and development of an objective image quality scoring system using deep learning.

OBJECTIVES: To develop a deep learning model capable of automatically detecting common positioning errors in panoramic radiographs and to establish an error-based objective ten-point image quality scoring system aligned with expert evaluation. METHODS: A total of 4,390 panoramic radiographs were retrospectively annotated for seven clinically relevant positioning errors (including chin position, he...

MedADL: High-Throughput Information Extraction of Functional Status from Electronic Health Records to Advance Frailty Assessment in Older Adults.

BACKGROUND: Functional status is essential for assessing frailty and planning care in older adults but is often under-documented in the structured fields of electronic health records. Manual chart review can capture functional status information but is labor-intensive and time-consuming. In this study, we developed and validated a scalable natural language processing (NLP) model to extract functio...

MIRAGE: a multimodal deep learning framework for interpretable risk assessment of high myopia from genetic and retinal imaging data.

High myopia (HM) is a complex condition influenced by both genetic and environmental factors, yet its early prediction and clinical intervention remai...

Generative Artificial Intelligence Chatbots for Parental Guidance in Pediatric Orthopaedics: A Pilot Feasibility Study.

BACKGROUND: Parents of children with pediatric orthopaedic conditions frequently have questions after their clinic visit, and a reliable postconsultat...

Heat shock protein-mediated remodeling of the bone immune microenvironment: mechanisms and precision therapeutic strategies for osteoporosis.

BACKGROUND: Osteoporosis is a systemic bone disorder marked by reduced bone mass and deteriorating bone microstructure, commonly associated with infla...

Rehabilitation Protocols Following Patellar Instability Surgery: A Structured Review of Published Recommendations and AI Generated Guidance.

PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament r...

Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation.

Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have led to significant progress in 2D body pose estimation. However, achieving a ...

Cervical musculoskeletal function is variable in tension-type headache: A cluster analysis.

OBJECTIVES: This study was conducted to (1) consider the causes of neck pain in tension-type headache (TTH) by investigating how the patients with TTH...

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.

INTRODUCTION: With rapid population aging in China, depression among middle-aged and older adults has become a major public health concern. Chronic pa...

CT ASSESSMENT OF BODY COMPOSITION AND LUNG EVOLUTION IN CYSTIC FIBROSIS AFTER ELEXACAFTOR-TEZACAFTOR-IVACAFTOR: A COHORT STUDY.

BACKGROUND: Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy markedly improves pulmonary function in people with cystic fibrosis (pwCF) but induces weig...

A clinical applicable study on lower limb segmentation from CT images for total knee arthroplasty.

BACKGROUND: Segmentation of lower limb bones is essential for accurate preoperative planning in total knee arthroplasty (TKA), yet fully annotated CT ...

Comment on "Integrating machine learning into fracture liaison services: Toward precision risk stratification in osteoporosis care: A prospective cohort study".

Clinical investigation of a digital biomarker for joint swelling in inflammatory arthritis based on automated quantification of dorsal finger fold patterns.

This study aimed to clinically evaluate a digital biomarker, the Finger Fold Index (FFI), derived from the ratio of joint diameter to finger fold surf...

Curvature-based machine learning method for automated segmentation of dendritic spines.

Recent advances in connectomics have been led by high-resolution reconstruction of large volumes of neural tissues using electron microscopy (EM), pro...

Evaluation of the quality of information provided by ChatGPT on distal biceps repair surgery.

BACKGROUND: Distal biceps tendon rupture is a rare injury, typically occurring during forceful, eccentric contraction of the biceps brachii muscle. Th...

Zero echo time MRI with deep learning reconstruction and chemical shift correction for detecting osteolytic myeloma lesions.

OBJECTIVE: We compared three magnetic resonance imaging (MRI) sequences-native zero echo time (ZTE), deep learning (DL)-chemical shift correction (CSC...

GNN-based deep surrogate modeling of knee contact mechanics: generalizing neuromuscular control patterns across subjects.

BACKGROUND: Accumulation of abnormal contact stress is a primary biomechanical driver of acute meniscal tears and chronic osteoarthritis. While Finite...

Hybrid learning: a combination of self-supervised and supervised learning for joint MRI reconstruction and denoising in low-field MRI.

Deep learning has demonstrated strong potential for MRI reconstruction. However, conventional supervised learning requires high-quality, high-SNR refe...

Enhanced vertebrae localization in CT volumes: a two-stage deep learning framework.

BACKGROUND: Vertebral landmark localization in computed tomography (CT) volumes is crucial for spinal pathological diagnosis, postoperative assessment...

Center of mass feedback for joint torque control during perturbed standing: a potential generalizable control approach for balance augmentation in wearable robots.

BACKGROUND: Exoskeletons have the potential to augment balance and decrease fall risk. However, existing balance-augmenting wearable robotic controlle...