Orthopedics

Changes in computed tomography derived muscle and pulmonary tissue in patients hospitalized for COVID-19: a 12-month follow-up study.

BACKGROUND: Prolonged muscle loss and persistent pulmonary radiological manifestations have been observed among previously hospitalized COVID-19 patients. This study aimed to investigate the patterns of change and the association between computed tomography (CT)-derived skeletal muscle cross-sectional area (CSA) and the percentage affected pulmonary parenchymal tissue in previously hospitalized CO...

SaintGSE: Transformer-based efficient and explainable gene set enrichment analysis.

OBJECTIVE: Gene set enrichment analysis (GSEA) is widely used to interpret genome-wide expression data, but pathway inference from differentially expressed gene (DEG) signatures remains limited by data scarcity, model incompatibility with tabular data, and limited interpretability. We aimed to develop an efficient and explainable model that predict gene-pathway associations from a large curated DE...

Imaging without biology: limitations of CT-derived psoas muscle volume as a standalone diagnostic criterion for sarcopenia.

We comment on the study by Choi et al., which proposes CT-derived psoas muscle volume (PV) as a diagnostic indicator for sarcopenia. The study is well...

Comparative performance analysis of AI-based large language models in assessing cervical vertebral maturation stages on lateral cephalometric radiographs.

Time-to-event risk prediction of dual sensory loss in middle-aged patients with symptomatic knee osteoarthritis: model development, preliminary external validation, and explainability analysis.

BACKGROUND: Knee osteoarthritis (KOA) is a highly prevalent chronic condition that substantially impairs functional capacity and quality of life among...

LMO7-mediated ubiquitination of SIRT3 promotes osteoarthritis progression: an investigation using machine learning and molecular dynamics simulations.

BACKGROUND: This study aims to inform clinical decision-making by identifying metabolism-related biomarkers involved in the progression of osteoarthri...

The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects.

With the widespread integration of artificial intelligence (AI), orthopedics postgraduate education is transitioning into the intelligent era. Large l...

Mechanobiological design strategy for additively manufacturable tibial ankle implant for enhanced biomechanical and osseointegration performance: A finite element and machine learning approach.

The leading cause of revision surgeries in ankle arthroplasty is aseptic loosening of the tibial implant, resulting from adverse bone remodelling and ...

Noninvasive Prediction of Bone Metastasis-Free Survival in Lung Adenocarcinoma Using Interpretable CT-based Deep Learning Model.

RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) remains challenging in resectable lung adenocarcino...

Machine Learning-Based Synthetic Computed Tomography Derived From Temporal Bone Magnetic Resonance Imaging.

IMPORTANCE: For diagnostics and presurgical planning in otology, both magnetic resonance imaging (MRI) and computed tomography (CT) are frequently req...

Analytical and AINN-based investigation of surface wave propagation in dry long bones with initial stress, magnetic field, and rotation effects.

This study presents a comprehensive analytical and artificial intelligence neural network (AINN)-based investigation of wave propagation in dry long b...

Empirical modeling of vehicle-bicycle interactions on high-speed rural roads: passing lateral distance and speed.

Driving behavior and interactions with bicyclists on rural roads have not been quantified and modeled extensively. Naturalistic bicycling data for 1,9...

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of c...

Polysectoid: a hyperredundant soft-bodied robot for modeling the role of parapodia in undulation and peristalsis.

Biological inspiration offers new and innovative solutions to exploring challenging terrains, and implementations in bio-inspired robotics in turn off...

Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration.

PURPOSE: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited ...

Imaging in the diagnosis and characterization of tennis leg.

Tennis leg is a common cause of acute posteromedial calf pain and encompasses a spectrum of injuries involving the posterior calf. Although initially ...

[Comparative observation of analgesic efficacy between liposomal bupivacaine and "cocktail" therapy following artificial intelligence-assisted direct anterior approach total hip arthroplasty: A prospective randomized controlled study].

OBJECTIVE: To compare the analgesic efficacy and safety of liposomal bupivacaine (LB) versus ropivacaine for surgical incision local anesthesia after ...

Fixed-time adaptive fuzzy command filtering control for a two-joint robotic manipulator with input dead zone saturation and time-varying delay.

This paper studies an adaptive fuzzy fixed-time tracking control problem for the two-joint robotic manipulator with input deadzone saturation and time...

The promise of injectable hydrogels in dental bone regeneration.

Injectable hydrogels are considered to be a minimally invasive approach for the regeneration of the dental bone, providing a number of benefits over t...

Minimum joint space width demonstrates higher inter-and intra-observer reliability than Kellgren-Lawrence grading in knee osteoarthritis.

PURPOSE: The purpose of this systematic review was to compare the inter- and intra-observer reliability of Kellgren-Lawrence (KL) grading versus minim...