Orthopedics

Human versus artificial intelligence-generated arthroplasty literature: A single-blinded analysis of perceived communication, quality, and authorship source.

BACKGROUND: Large language models (LLM) have unknown implications for medical research. This study a...

Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data.

PURPOSE: Necrotizing viral retinitis is a serious eye infection that requires immediate treatment to...

Reply to the Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review.

Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review.

Deep Learning Enables Spatial Mapping of the Mosaic Microenvironment of Myeloma Bone Marrow Trephine Biopsies.

UNLABELLED: Bone marrow trephine biopsy is crucial for the diagnosis of multiple myeloma. However, t...

Comprehensive exploration of multi-modal and multi-branch imaging markers for autism diagnosis and interpretation: insights from an advanced deep learning model.

Autism spectrum disorder is a complex neurodevelopmental condition with diverse genetic and brain in...

Deep Learning for Midfacial Fracture Detection in CT Images.

This study deploys the deep learning-based object detection algorithms to detect midfacial fractures...

Temporomandibular Joint Disorders Multi-Class Classification Using Deep Learning.

Temporomandibular joint (TMJ) disorders have been misinterpreted by various normal TMJ features lead...

Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears.

The detection of genetic aberrations is crucial for early therapy decisions in acute myeloid leukemi...

Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Background: Limited information exists regarding the pathophysiological interactions between osteopo...

BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.

To develop and test an NLP algorithm that accurately detects the presence of information reported f...

Artificial Intelligence in Spine and Paraspinal Muscle Analysis.

Disorders affecting the neurological and musculoskeletal systems represent international health burd...

Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery.

Over the past decade, advancements in computational modeling, augmented reality, and artificial inte...

Performance and Reliability Evaluation of an Automated Bone-Conduction Audiometry Using Machine Learning.

To date, pure-tone audiometry remains the gold standard for clinical auditory testing. However, pure...

Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomogra...

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

BACKGROUND: Patients with malignant tumors often develop bone metastases. SPECT bone scintigraphy is...

An Innovative Deep Learning Approach to Spinal Fracture Detection in CT Images.

AIM: Spinal fractures, particularly vertebral compression fractures, pose a significant challenge in...

Corrigendum to: Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN.

In the online version of the article, a change was made in the section of author's affiliation. The ...

Machine learning model for osteoporosis diagnosis based on bone turnover markers.

To assess the diagnostic utility of bone turnover markers (BTMs) and demographic variables for ident...

Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images.

BACKGROUND: Segmentation of retinal fragments like blood vessels, Optic Disc (OD), and Optic Cup (OC...

A Systematic Review on Deep Learning Model in Computer-aided Diagnosis for Anterior Cruciate Ligament Injury.

INTRODUCTION: In developing Computer-Aided Diagnosis (CAD), a Convolutional Neural Network (CNN) has...