Orthopedics

Artificial intelligence in orthopedic trauma surgery: a scoping review of current applications and research gaps.

Editorial for "Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis".

Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.

Artificial intelligence in the management of sports knee injuries: a narrative review.

INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...

Assessing the Performance and Reliability of Deep Learning Auto-Segmentation in Videofluoroscopic Swallowing Studies: A Systematic Review and Meta-Analysis.

OBJECTIVE: To systematically evaluate the accuracy and reliability of deep learning-based auto-segmentation methods in videofluoroscopic swallowing st...

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening.

Interpretability remains one of the major challenges in the clinical adoption of deep learning models for medical image analysis. In ophthalmology, pa...

Automated knee MRI segmentation with KneeSeg-U for cartilage and bone extraction using an unsupervised deep learning framework.

Spinal morphology-based multimodal AI for predicting pulmonary dysfunction in adolescent idiopathic scoliosis.

Comparison of GPT-4 omni and physicians for accurate evaluation of traumatic extremity x-rays: A feasibility study.

GPT-4 omni (GPT-4o) is the latest version of Chat-GPT, developed by OpenAI, which provides image interpretation capabilities. In trauma patients, x-ra...

FDG-PET Medullary Total Tumor Volume Highlights High-Risk Newly Diagnosed Multiple Myeloma Patients in CASSIOPEIA Trial.

This study aimed to assess the prognostic value of medullary total metabolic tumor volume (mTMTV) derived from fluorodeoxyglucose-positron emission to...

A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.

OBJECTIVE: Lumbar spinal stenosis (LSS) is a degenerative spinal condition characterized by the narrowing of the lumbar spinal canal, leading to back ...

Exploring the association between Frailty Index and Knee osteoarthritis in middle-aged and older Chinese adults: A cross-sectional analysis of data from the China Health and Retirement Longitudinal Study.

OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in Chinese people aged 45 and above. METHODS: Data on ...

Wearable Devices and Artificial Intelligence to Enhance Perioperative Care in Total Knee Arthroplasty.

Rapidly evolving wearable devices have the potential to transform health care delivery and enhance outcomes. Applications of wearable smart devices ra...

[Construction of a prognostic assessment model of acupuncture intervention for lumbar disc herniation based on interpretable machine learning algorithms].

OBJECTIVE: To construct and validate a prognostic assessment model of acupuncture intervention for lumbar disc herniation (LDH), and analyze the key f...

Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry.

BACKGROUND: Sagittal abdominal diameter (SAD), a measure of visceral adiposity, has been linked to major adverse cardiovascular events (MACE). However...

Classification of anterior cruciate ligament injury profiles through running analysis: a machine learning approach.

Anterior cruciate ligament (ACL) injuries are common in athletes and often result in long-term complications such as altered gait and an increased ris...

Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank.

Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain only partially understood. To identify scoliosis-rel...

Automating Adolescent Idiopathic Scoliosis Classification: An Interpretable, Workflow-Based Approach to Lenke Classification: Commentary on an article by Lingcong Xu, MD, et al.: "A Fully Automated Multistage Deep Learning System for Lenke Classification. Enhanced Diagnostic Precision in Adolescent Idiopathic Scoliosis".

DDS-UDA: Dual-domain synergy for unsupervised domain adaptation in joint segmentation of optic disc and optic cup.

Convolutional neural networks (CNNs) have achieved exciting performance in joint segmentation of optic disc and optic cup on single-institution datase...

Ultrastructural Evidence of Altered Dendritic Morphology in the Prefrontal Cortex of Alzheimer's Model Rats.

Alzheimer's disease (AD) is a neurodegenerative disorder with synaptic pathology as a core theme in aging-related research. Conventional imaging and l...