Orthopedics

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

Surgically Relevant Knee Phenotypes: The Modified Coronal Plane Alignment of the Knee (mCPAK) System - A Deep Learning-based Classification.

BACKGROUND: The coronal plane alignment of the knee (CPAK) classification proposes nine knee phenotypes based on constitutional limb alignment and joint line obliquity (JLO). However, there is considerable confusion and variability in defining types, and its impact on surgical decision-making is unclear. A simple modified CPAK system is proposed to improve accuracy and facilitate decision-making. ...

Enhancing Readability of Surgical Patient Education Resources Using ChatGPT.

INTRODUCTION: Patient education materials are essential for informed decision-making. However, their readability often exceeds the sixth-grade reading...

Reachable Workspace as a Clinical Outcome for Upper Extremity Function: A Narrative Review.

Motion sensing technology can be utilized to capture detailed upper extremity (UE) motion to reconstruct an individual's three-dimensional (3D) reacha...

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay...

Bibliometric and visual analysis of artificial intelligence-related research in osteoarthritis: Trends and frontiers (2008-2025).

Osteoarthritis (OA) causes joint pain, functional impairment, and significantly impacts patients' quality of life. Recent advancements in artificial i...

Developing an Artificial Intelligence Solution to Autosegment the Edentulous Maxillary Bone for Implant Planning.

Digital dental implant planning using panoramic radiographs and cone beam computed tomography (CBCT) imaging is labor-intensive and prone to error due...

Extended Rice-Thomson analysis and atomistic simulations revealing grain boundary effects on fracture in refractory high-entropy alloys.

Understanding how grain boundaries mediate fracture remains a critical challenge in designing ductile, high-performance refractory alloys. Here, we ex...

High-Throughput Screening for Ageing and Age-Related Disease Drug Discovery: Advances and Challenges.

Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, yet the translational pipeline for geroprotective in...

Utility of Machine Learning in Predicting Catastrophic Cardiac Complications Following Hip and Knee Periprosthetic Fracture Surgery Using Preoperative Parameters.

BACKGROUND: With the rising prevalence of primary total hip (THA) and knee arthroplasties (TKA), the number of periprosthetic fractures (PPF) is expec...

The Effect of Glenoid Rotational Malalignment on Best-Fit Circles Based on AI-Generated Mathematically True Glenoid En-Face Views.

BACKGROUND: The majority of studies that measure glenoid bone loss in the context of shoulder instability, are based on a sagittal image, termed the '...

Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning.

Effects of IMU placement strategies on the accuracy of hip joint angle estimation.

Inertial measurement units (IMUs) provide a portable and low-cost solution for motion monitoring, but their estimation accuracy is strongly influenced...

A new peer reviewer? Comparing AI with human performance in randomized controlled trial risk-of-bias assessment.

BACKGROUND: Risk-of-bias (RoB) assessment is essential for evidence synthesis but remains time-consuming and inherently subjective. Artificial intelli...

Advancing Artificial Intelligence for Skeletal Maturation Assessment and Cervical Vertebral Anomaly Detection in Patients With Cleft Lip and Palate.

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Mapping the Mandibular Lingual Foramina for Safer Chin Surgery: CT Morphometry and Predictive Modeling.

BACKGROUND: Submental hematoma after genioplasty is rare but can be life-threatening, and current imaging data give limited patient-specific guidance ...

Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection.

Lumbar spine disorders represent one of the most prevalent musculoskeletal conditions worldwide, particularly among the elderly population. Magnetic R...

Identification and experimental validation of aging-related biomarkers in intervertebral disc degeneration.

Intervertebral disc degeneration (IDD) is a prevalent disease with an increasing incidence, and aging is a key risk factor for its progression. Theref...

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing countries due to limited access to gold-standard dual...