Orthopedics

Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolong...

A multi-pseudo-sensor fusion approach to estimating the lower limb joint moments based on deep neural network.

Reliable feedback of gait variables, such as joint moments, is critical for designing controllers of...

Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning - finding the balance between accuracy and consumer viability.

We used raw data from wearable sensors in consumer-realistic locations (replicating watch, arm phone...

Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.

The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent s...

A Deep Learning Model for Comprehensive Automated Bone Lesion Detection and Classification on Staging Computed Tomography Scans.

RATIONALE AND OBJECTIVES: A common site of metastases for a variety of cancers is the bone, which is...

Automated instance segmentation and registration of spinal vertebrae from CT-Scans with an improved 3D U-net neural network and corner point registration.

This paper presents a rapid and robust approach for 3D volumetric segmentation, labelling, and regis...

Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Robust differentiation between infarcted and normal myocardial tissue is essential for improving dia...

ssEM Image Restoration via Diffusion Models with Multi-output Joint Strategy for Noise Estimation.

Serial section electron microscopy (ssEM) is a pivotal technique for investigating neuronal connecti...

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis.

Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and...

A Meta-Analysis of the Diagnosis of Condylar and Mandibular Fractures Based on 3-dimensional Imaging and Artificial Intelligence.

This article aims to review the literature, study the current situation of using 3D images and artif...

AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data.

Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliabi...

Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain.

Generating high-quality variant callsets across diverse species remains challenging as most bioinfor...

Mechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.

BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechani...

Radiographic Bone Texture Analysis using Deep Learning Models for Early Rheumatoid Arthritis Diagnosis.

Rheumatoid arthritis (RA) is distinguished by the presence of modified bone microarchitecture, also ...

External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study.

OBJECTIVE: To determine the performance of a commercially available AI tool for fracture detection w...

Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.

Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age.

Cellular senescence is an irreversible state of cell cycle arrest with a complex role in tissue repa...

Real-time super-resolution structured illumination microscopy: current progress in joint space and frequency reconstruction.

Due to its low light dose, ultra-high imaging speed and super-resolution, structured illumination mi...

External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.

BACKGROUND AND PURPOSE:  We aimed to externally validate machine learning models developed in Norway...

Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases.

BACKGROUND AND PURPOSE:  Treatment-related shared decision-making (SDM) in older adults with hip fra...

Evaluation of retrieval-augmented generation and large language models in clinical guidelines for degenerative spine conditions.

PURPOSE: Degenerative spinal diseases often require complex, patient-specific treatment, presenting ...